The AI in Business Podcast

For AI systems built into vehicles, robots, and industrial equipment, being smart isn't enough — the difference between success and failure often comes down to whether real-time performance was designed in from the start or added on afterward. In this episode, Drew Barbier, Vice President, IP Business Unit at MIPS, breaks down why starting with the software workload, rather than the hardware, produces measurably better outcomes in real-time compute design. The conversation covers a real-world example of a three-to-five-times performance gain from workload-first design, what changes on a team's side when real-time becomes a starting requirement instead of an afterthought, and how leaders can tell within six months whether their approach is working. This episode is sponsored by MIPS. Learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads. Download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1  

Enterprise sales teams routinely let the majority of inbound leads go untouched simply because there isn't enough team bandwidth to work them all. In this episode, Vanessa Tabbert, VP of Agentic Transformation and Sales Development at Salesforce, breaks down how her own team deployed an AI SDR agent to recover leads that would otherwise go cold, without replacing the humans who convert the best ones. The conversation covers how to identify a low-risk first use case, why an AI agent should be coached and measured like a team member rather than launched and left alone, and how the same approach scales down to a small SMB sales team. This episode is sponsored by Salesforce. ​ To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

Large B2B operations keep running order entry, invoicing, and other repetitive back-office workflows by hand, years after most companies started investing heavily in AI. In this episode, Chris Bradley, Chief Marketing Officer and Head of AI Transformation at Veritiv, breaks down why legacy systems have kept agentic AI out of these workflows, and what changed once Veritiv began automating a process handling 1.7 million orders a year. The conversation covers the audit-trail controls needed to trust an agent with an end-to-end task, how a supervising AI agent checks another agent's work, and how to pick a first automation target based on headcount concentration rather than project size. ​ If you offer AI products or services into the enterprise, you need to find enterprise leaders with relevance and readiness. Emerj attracts VP+ enterprise audiences who are already convinced that they need to move beyond traditional IT. To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

Industrial environments run on a different set of constraints than the typical enterprise office — physical risk, standalone factory sites, and workflows where a fragmented handoff can cost time, quality, or worse. ​ In this episode, Scot Burdette, Global CIO of Measurement & Analytics at ABB, examines why industrial AI has to be built around knowledge capture, human-in-the-loop oversight, and frontline usability, and shares how ABB's own tools are helping a retiring generation's expertise transfer to the workers replacing them, with Emerj host Marilie Fouché. ​ He outlines the practical shift underway, from siloed, tribal knowledge toward a shared operational data layer, and from pilots that prove a concept to the design and implementation work that changes how a factory runs. ​ This episode is sponsored by Poka.   To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

Job titles routinely undercount what employees can actually do, especially in fast-moving technical roles.   In this episode, Cory Hymel, Head of Research at Andela, explores why mapping skills instead of roles gives leaders a far more accurate picture of workforce capability and AI readiness.   The conversation covers how continuous skills assessment, rather than one-time training, keeps pace with a technical skill half-life that's now down to two or three years.   This episode is sponsored by Andela.   Learn how select AI vendors reach Fortune 500 decision-makers through Emerj's research and media platforms. Download our media kit at emerj.com/AD1

A quarter of enterprise teams have gotten a single AI channel into full production — the rest are stuck somewhere behind it. In this episode, Arun Chandra, Chief Operating Officer at NiCE, explores why that gap persists and what closes it.   The conversation covers getting data, knowledge, and organizational context ready for scale, building the financial case for AI investment with the CFO, and how open protocols like MCP are reshaping enterprise architecture decisions.   This episode is sponsored by NiCE Cognigy.   Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success. Download our free PDF report, "Beginning with AI," at emerj.com/aik1

The service environment is straining under rising equipment complexity and a rapidly shrinking technician workforce, making patient‑critical uptime harder to guarantee.   In this episode, Michael Goldman, Senior Director of Business Operations and Transformation at Patterson Dental, examines how AI can preserve service continuity by capturing institutional knowledge, supporting technician workflows, and enabling earlier, more accurate equipment diagnostics — in conversation with host Yolandi de Weerdt.   Learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1    

Enterprise engineering teams often spend more time triaging recurring incidents than building the features customers are asking for. In this episode, Dave Glick, Senior Vice President of Growth Technology at Walmart, explores how his teams are using AI agents to catch and fix small, recurring issues before they turn into support tickets. The conversation covers the internal tools Walmart built to scale this work, the governance model that keeps experimentation safe, and why closing the distance between engineers and the people using their tools speeds up every iteration. ​ This episode is sponsored by BigPanda.   If you offer AI products or services into the enterprise, you need to find enterprise leaders with relevance, and readiness.   Emerj attracts VP+ enterprise audiences who are already convinced that they need to move beyond traditional IT.   To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

Consolidating hardware into fewer, more capable chips looks like an unambiguous win — until the complexity those separate components used to handle resurfaces in the software binding everything back together.   In this episode, Sam Grove, Head of Software and Tools Business at MIPS, examines why hardware and software teams can't keep building in sequence, and why MIPS bet its roadmap on the open RISC-V standard instead of defending a proprietary instruction set, with host Yolandi de Weerdt.   The conversation also covers how tools like MIPS Atlas Explorer help engineering teams see where hardware acceleration pays off before silicon gets committed, and why the real risk in overhauling a build process is rarely the technology — it's bringing already-productive teams along with the change.   This episode is sponsored by MIPS.   Learn how these conversations drive pipeline for other AI brands — download our media kit at emerj.com/AD1

Enterprise leaders face a growing gap between AI ambition and the fragmented data, legacy systems, and cultural friction that prevent pilots from becoming scalable value.   In this episode, Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock, examines how unified data foundations, modernized infrastructure, and transparent governance enable organizations to move from reactive experimentation to intentional, enterprise‑wide AI deployment, in conversation with host Matthew DeMello.   He highlights the practical shifts required to reduce friction, build trust in AI systems, and create repeatable playbooks that let teams scale responsibly and with confidence.   Learn how to identify real AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy. Download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1  

Virtual cell models promise faster, cheaper early-stage drug discovery. However, the industry still lacks a shared way to judge which of these models can actually be trusted on a given problem.   In this episode, Kristóf Szalay, CTO and Co-Founder of Turbine, and Gerold Csendes, Scientist at Turbine, set out what virtual cell models can and can't do today, in conversation with host Marilie Fouché. They cover why benchmarking remains fragmented across the field, how pharma teams build confidence in a model before trusting it with real R&D decisions, and how compressing the feedback loop between experiments can cut months out of the discovery process.   This episode is sponsored by Turbine.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

The rise of non‑invasive BCIs and the privacy, security, and human‑relevance questions they introduce is becoming a central concern as this technology moves toward practical use.   In this episode, Paolo Ardoino, CEO at Tether, examines how lightweight on‑device models, silent‑speech inputs, and anonymized brain‑wave data can turn low‑bandwidth neural signals into real‑world actions, in conversation with host Daniel Faggella, Emerj CEO and Head of Research.   The discussion focuses on emerging consumer use cases, long‑term cognitive augmentation, and the safeguards needed to keep these systems private and safe.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

Most retail AI pilots stall waiting on a years-long project to centralize and clean data before any agent can go live.   In this episode, Chris Slovak, Global Field CTO at Unframe, makes the case for a different path: letting agents pull context directly from ERPs, CRMs, and point-of-sale systems as needed, in conversation with host Marilie Fouché. He walks through concrete results from that approach, including an inventory intelligence deployment that saved tens of thousands of dollars in time and data costs, and a deployment cycle that shrank from nine months to two weeks.   This episode is sponsored by Unframe.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

Banks can process millions of transactions an hour, yet even routine steps in financial operations still require constant human judgment to hold together.   In this episode, Ajay Swamy, Senior Executive Product Director for GenAI Products and Governance at JPMorganChase, and Founder of FundLens.ai, explores why data fragmentation and manual judgment make BFSI workflows hard to run consistently, and what it takes to make AI‑driven decisions explainable enough to trust at scale.   The conversation covers evaluating AI for regulated environments, building oversight into agentic systems, and treating trust as something institutions have to engineer deliberately rather than assume.   This episode is sponsored by Reindeer.   To go deeper on this topic and learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data like public web and social signals to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1

Service leaders are increasingly asked to deploy AI agents without a clear sense of what these systems can safely handle today, or where to start. In this episode, Matt Kravitz, Head of Customer Transformation for Service Cloud at Salesforce, breaks down a three-level maturity model for AI service agents — answering questions, accessing account data, and taking action — and how to sequence adoption. The conversation also covers a channel-strategy framework for deciding which support requests to deflect, route to digital-assisted support, or escalate to a live conversation, and how a business's overall service model should guide which use case to prioritize first.   This episode is sponsored by Salesforce.   In this episode, we cover how enterprise service leaders can sequence AI agent adoption — starting with agents that answer common questions, then adding account-data access, and finally the ability to take action on a customer's behalf. To go deeper on this topic, download our free PDF report, 'Beginning with AI,' at emerj.com/aik1

The security landscape is shifting as AI accelerates existing vulnerabilities faster than most retail enterprises can adapt.   In this episode, Mark Alvarado, CISO at Academy Sports + Outdoors, examines how AI amplifies gaps in identity management, data governance, and human behavior, joining Emerj's Yolandi de Weerdt to clarify where leaders must focus before deploying AI‑enabled tools. He highlights the operational foundations that determine whether AI strengthens detection and response or simply magnifies unresolved weaknesses.   Learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1

A growing gap between device complexity and organizational knowledge is turning service reliability into an enterprise‑level risk for regulated industries.   In this episode, Ryan Makely, Senior Director of CALID Service at Bruker Scientific, breaks down how fragmented documentation, rapid loss of expert judgment, and inconsistent field diagnoses undermine both operational performance and any future AI‑enabled support capability — in conversation with Emerj's Marilie Fouché.   Leaders will hear practical themes around building structured knowledge foundations, reducing repeat‑visit failure cycles, and preparing service teams for scalable AI adoption.   This episode is sponsored by Aquant.   Learn more about how Emerj drives  pipeline for other AI brands - download our media kit at emerj.com/AD1

Industrial AI is forcing leaders to confront a fundamental gap between digital systems built for offices and the high‑risk, real‑time demands of the factory floor.   In this episode, Antoine Bisson, CEO & Co‑founder at Poka, joins host Marilie Fouché and dissects why industrial environments require contextual data, strict governance, and human‑validated autonomy to safely scale AI‑driven operations.   The conversation surfaces practical considerations for executives, from structuring governance and standardizing workflows to determining where autonomous agents can responsibly support frontline teams.   This episode is sponsored by Poka.   Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1

AI is generating code and surfacing vulnerabilities faster than security teams can review them, compressing the time between a vulnerability discovery and its exploitation.   In this episode, Niro Rajadurai, Chief Revenue Officer at XBOW, examines how autonomous offensive security can match that pace, in conversation with host Marilie Fouché. He discusses why distinguishing exploitable vulnerabilities from false positives is critical at scale, how pairing multiple AI models improves results without costly retraining, and why governance has to be built into automated security systems from day one.   This episode is sponsored by XBOW.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

Pharma organizations are generating more clinical and scientific evidence than ever, yet the path from that evidence to a confident strategic call hasn't kept up.   In this episode, Nabil Khan, Medical Director for Internal Medicine Antivirals at Pfizer, digs into where AI genuinely helps medical affairs and clinical teams move faster from raw data to decisions, in conversation with host Yolandi de Weerdt. He lays out the risk of treating AI output as fact rather than a starting point, why training is the piece organizations most often shortchange, and what it realistically takes to build a foundation AI can be trusted to work from.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

Industrial service teams are facing two compounding pressures at once: decades of hands-on expertise walking out the door through retirement, and the equipment itself growing more complex to diagnose and maintain.   In this episode, Scot Burdette, Global Division CIO at ABB, unpacks how remote diagnostics and AI-driven insights are reshaping who does the work of keeping industrial equipment running, in conversation with host Yolandi de Weerdt. He outlines how leaders can prioritize the most critical processes first, build the data discipline needed to support predictive maintenance, and transfer expertise before it's lost rather than after.   This episode is sponsored by Aquant.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1  

As AI agents move from pilots into live financial workflows, most institutions still can't answer a basic question: who authorized this action, and what evidence backs it up?   In this episode, Shahir Daya, Chief Product & Technology Officer at Zafin, examines why uniform governance policies fail at scale and what a tiered, control-tower approach to agent oversight looks like in practice. The conversation covers execution-layer governance, cost visibility across models, and the shift required to move agentic work from promising pilot to defensible production.   This episode is sponsored by Zafin.   Learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers: visit emerj.com/AD1  

A persistent gap remains between what modern manufacturing technology makes possible and how day‑to‑day work is still executed, with paper workflows, limited machine visibility, and siloed data preventing real operational control.   In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, examines with host Marilie Fouché how tighter data capture and connected systems can move leaders toward real‑time process control and reduced variability. The discussion highlights practical shifts in measurement, machine connectivity, and automation that help teams stabilize output and build more reliable, digitally enabled operations. ​ Learn how leading organizations define the right data — and why cross‑functional collaboration is essential to getting it right. Download our free PDF report, "Beginning with AI," at emerj.com/aik1  

Experienced field engineers are retiring or moving on faster than ever, and the troubleshooting knowledge they carry rarely makes it into a manual before they go.   In this episode, Deniz Mullis, Senior Director of Global Technical Operations at Cytiva, examines why closing that knowledge gap takes daily feedback loops, cleaner documentation, and technician trust. Deniz joins Emerj's Yolandi de Weerdt to walk through what breaks first during a rollout, how her team builds confidence in AI-assisted guidance, and what has to be true inside a service organization before an AI investment can pay off.   This episode is sponsored by Aquant.   Learn how consultants are winning business with evidence-based AI ROI, and building long-term capabilities instead of chasing short-term gains. Download our free PDF report, "3 Keys to Thriving in the Coming Era of Automation" at emerj.com/cok1

The pace of modern IT operations is collapsing under the volume of alerts and the slow speed at which teams can contextualize data during active incidents.   In this episode, Luke Rotta, Director of Site Reliability Engineering at Charles Schwab, examines how fragmented tooling, slow triage, and human‑driven workflows create persistent drag on response speed in conversation with host Yolandi de Weerdt, and why AI‑driven pattern recognition and automation meaningfully change that equation.   He highlights how leaders can reduce operational noise, build trust in automation through simulation, and sequence high‑volume workflows to move teams from reactive firefighting toward more intelligent, reliable operations.   This episode is sponsored by BigPanda.   Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1

Financial institutions are pushing agentic AI past pilot mode and into document-heavy, regulated workflows like AML alerts and account closures, but many leaders still lack a clear model for where automation should run freely and where human judgment has to stay in the loop. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how banks are structuring agent oversight so automation earns trust incrementally instead of replacing compliance teams outright. The conversation covers how to identify workflows ready for agentic AI, what signals show an agent is learning rather than failing, and how public and historical data can strengthen both compliance decisions and customer retention.   This episode is sponsored by Reindeer AI.   Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1

CRM is shifting from a static repository to the core system that supplies the real‑time customer context required for dependable AI‑driven work.   In this episode, Sharif Karmally, VP of SMB Product Marketing at Salesforce, explores with host Daniel Faggella how unified CRM data supports automated lead handling, accurate record updates, and predictive sales and service actions. Leaders will hear practical guidance on system integration, governance for human‑agent workflows, and building a data foundation that scales.   This episode is sponsored by Salesforce.   Learn how leading organizations approach AI investment more like a venture portfolio, download our free PDF report, "Beginning with AI," at emerj.com/aik1

Most enterprise AI pilots don't stall because the underlying models fail — they stall once real production stakes, fragmented systems, and unclear ownership enter the picture. In this episode, Larissa Schneider, Co-Founder & COO at Unframe, unpacks why AI initiatives lose momentum on the way to production and how modular, reusable architecture changes that trajectory. The conversation covers where deployment friction actually originates, how modular AI components cut integration time from months to weeks, and what governance and auditability enterprises need before pushing AI-driven workflows live.   This episode is sponsored by Unframe. Emerj reaches 1,000,000 listeners every year. Learn how leading AI brands partner with Emerj to build credibility and generate pipeline.  Learn more about how executive conversations drive pipeline for other AI brands - download our media kit at emerj.com/AD1  

Infrastructure readiness has become the real bottleneck for agentic AI in healthcare, as enterprises confront the shift from systems that generate content to systems that execute tasks across complex, regulated workflows.   In this episode, Alex Tyrrell, SVP and CTO of Health at Wolters Kluwer, examines how agentic AI changes operational demands for healthcare organizations in conversation with host Matthew DeMello, highlighting the need for domain‑adapted reasoning, granular APIs, and stronger observability as agents drive higher‑volume system interaction.   He underscores the practical implications for leaders: preparing backend systems for agent‑driven load, adapting models to real‑world workflows, and avoiding monolithic architectures that limit safe, scalable deployment.   Learn how to evaluate AI vendors by assessing leadership expertise, and why funding benchmarks can signal product maturity and stability, download our free PDF report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv1  

Mobile app attackers already operate at machine speed, but most enterprise cyber functions still rely on manual, human-paced patch cycles to keep up. In this episode, Tom Tovar, Co-Creator at Appdome, examines how agentic AI is replacing manual vulnerability assessment and forcing cyber teams to become producers of protection rather than evaluators of risk. The conversation covers the shift from application-level security policies to release- and user-level personalization, the data and context needed to run agentic protection pipelines, and the accountability questions that come with agentic decision-making.   This episode is sponsored by Appdome.   Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data to enhance risk assessment. Download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1

A surge in AI adoption is forcing enterprises to expose sensitive data to new systems and access paths, creating security risks that traditional perimeter models can't contain.   In this episode, Todd Vancil, Vice President of Veeam's Securiti AI Sales Engineering Team, examines how securing the data itself — through classification, labeling, and governed access — becomes the prerequisite for safely deploying AI at scale, in conversation with host Daniel Faggella, Emerj CEO and Head of Research.   This episode is sponsored by Securiti AI . Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner  

Enterprises rushing agentic AI into production are running it through approval gates, batch windows, and audit systems built for human speed — and the gap is where most operational risk lives. In this episode, Chris Caldwell, President and CEO at Concentrix Corporation, examines how machine-scale transactions break processes designed for human pace and why bounded digital delegates outperform unrestricted digital twins in the enterprise. The discussion covers compliance bots that check other bots, the cost reality of poorly tuned agentic agents, and what leaders need to stop doing if they want a defensible AI roadmap. Learn how to evaluate AI vendors by assessing leadership expertise, and why funding benchmarks can signal product maturity and stability. Download our free PDF report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv2

Legacy enterprises are facing a decisive shift from stalled pilots and fragmented data toward agentic systems that reshape customer experience, operations, and net‑new revenue.   Matt Renner, President and Chief Revenue Officer at Google Cloud, examines how leaders can move beyond early AI failures to build modern data foundations, orchestrate heterogeneous agents, and accelerate transformation in conversation with Daniel Faggella, Emerj CEO and Head of Research.   The discussion highlights capability‑driven ROI, structured AI governance, data modernization, agentic orchestration, and the emerging security imperatives shaping enterprise adoption.   To listen to the conversations other infrastructure and AI leaders in the Fortune 500 are tuned into, subscribe to the AI infrastructure podcast at emerj.com/inf1

The rapid expansion of AI‑driven knowledge work is exposing a growing tension: teams are moving faster across more surface areas, but their context is fragmented across tools, personal systems, and ad‑hoc workflows.   In this episode, Tsavo Knott, CEO and co‑founder at Pieces, examines how the shift toward AI‑native individual contributors requires a unified substrate for capturing and retrieving operational context, and how this enables more effective coordination between humans, agents, and cross‑functional teams with host Daniel Faggella, Emerj CEO and Head of Research.   He highlights the practical implications for leaders, from standardizing how context is recorded to enabling context‑router roles that keep decisions and execution aligned at the speed modern AI workflows demand.   This episode is sponsored by Pieces. Learn more about how recipes drive pipeline for other AI brands - download our media kit at emerj.com/AD1

Visual AI gets stuck not because the technology fails, but because enterprises cannot move it from controlled environments into the variability of daily operations. In this episode, Brian Ton, Senior Laboratory Manager at Florida Crystals Corporation, examines why building operational trust in visual AI requires more than a successful pilot — and what actually determines whether a deployment becomes standard practice or stalls. The conversation covers validation and verification frameworks, the role of the feedback loop in sustaining trust, and why starting with small, demonstrable wins is more effective than reaching for enterprise-wide solutions from the outset. This episode is sponsored by Roboflow. Do you sell AI products or services? Emerj gives you access through trusted content and real conversations. Learn how leading AI brands like NVIDIA and Google Cloud work with Emerj to reach Fortune 500 AI buyers — download our media kit at: emerj.com/AD1

A growing reliance on data‑driven systems is creating tension for enterprise leaders between operational efficiency and the human judgment required for high‑risk, high‑reward decisions. In this episode, Kun He, Lead Scientific Advisor at Bayer, examines how AI improves agricultural decision‑making while still leaving critical gaps that only human intuition and risk tolerance can fill, in conversation with host Matthew DeMello. He highlights where AI reliably accelerates complex workflows and where leaders must preserve the capacity to recognize outlier opportunities and make unconventional calls that data alone would never surface. Learn how to structure landing pages for higher conversion and how to use self-qualification systems to prioritize high-intent leads. Download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1

A growing share of enterprise work now depends on systems that can support both human and AI agents, exposing bottlenecks in coordination, governance, and cross‑functional process design. In this episode, Debanjan Saha, Chief Executive Officer at DataRobot, examines how enterprises can rebuild their operational architecture to support digital employees at scale in conversation with host Daniel Faggella, Emerj CEO and Head of Research. He highlights the practical shifts required — from identity and access control to auditability, simulation, and cross‑system orchestration — that enable agents to take on back‑office and cross‑functional work reliably and safely. To hear the full conversation, visit: emerj.com/inf1

Enterprise IT teams are drowning in alert volume as cloud, microservices, and CI/CD pipelines outpace what human operators can process. In this episode, Assaf Resnick, CEO and Founder at BigPanda, examines how agentic AI can shift IT operations from reactive troubleshooting to a prevention-first model built on an enterprise IT knowledge graph. The conversation covers how to build and own that knowledge graph, where human judgment still belongs in the incident response loop, and why an evolutionary rollout beats a full system overhaul. This episode is sponsored by BigPanda. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner

As financial institutions move beyond AI experimentation, the primary bottleneck is no longer capability; it is governance. In this episode, Yoav Naveh, Co-Founder and Co-CEO at Reindeer AI, examines how enterprises can operationalize agentic AI inside regulated financial workflows, including the two-loop oversight model that keeps agents compliant, self-correcting, and continuously improving. The conversation covers what it means for agents to self-heal when they encounter exceptions, how decision logic should be governed in practice, and how to approach the build-versus-buy decision in a way that places accountability ahead of capability. This episode is sponsored by Reindeer AI. In this episode, we cover how enterprises in banking and financial services are operationalizing agentic AI inside regulated workflows — and what governance infrastructure actually makes it sustainable at scale. To go deeper on this topic and learn how banks are using RPA to reduce operational costs in repetitive workflows and applying anomaly detection to identify fraud in real time, download our free PDF report, "AI in Banking Executive Cheat Sheet," at emerj.com/bcs1

Enterprise AI adoption is moving faster than security and governance frameworks can follow,  forcing organizations to make difficult trade-offs between competitive urgency and operational risk. In this episode, Jason Loomis, CISO at Freshworks, examines why most enterprises have not yet resolved the tension between AI deployment speed and security maturity, and outlines a sequenced approach; beginning with regulatory compliance, advancing through data trust, and extending into AI-specific security frameworks. The conversation covers how leadership can build the investment case for AI, how culture shapes adoption outcomes, and why the biggest executive mistake is expecting returns before committing the resources that make them possible. Connect with ideal enterprise AI through the strategies Emerj employs to help leading AI brands and startups: emerj.com/AD1  

As enterprises move from single to multi-agent AI deployments, a coordination infrastructure problem is emerging that connectivity protocols alone cannot solve. In this episode, Guillaume de Saint Marc, VP of Engineering at Outshift, examines why agents that can communicate still fail to collaborate — and outlines the semantic alignment, shared memory, and authorization architecture required to address it. The discussion covers specific failure modes in production multi-agent systems, the organizational security and observability decisions that determine whether agentic deployments scale, and how open standards protect enterprises from vendor lock-in as the space evolves.   This episode is sponsored by Outshift by Cisco. In this episode, we cover why enterprises scaling multi-agent AI need more than connected agents — they need shared semantic grounding, persistent memory, and fine-grained authorization to enable genuine collaboration. To go deeper on this topic and learn how consultants are winning business with evidence-based AI ROI, and building long-term capabilities instead of chasing short-term gains, download our free PDF report, "3 Keys to Thriving in the Coming Era of Automation" at emerj.com/cok1

A widening gap between mature digital compute and the newly awakening physical world is forcing enterprises to rethink how they embed AI into logistics, manufacturing, and other high‑stakes environments where errors carry real operational risk. In this episode, Drew Henry, Executive Vice President for Physical AI at Arm, joins host Daniel Faggella and examines how leaders are navigating the shift from fixed automation to model‑driven intelligent control, and what it takes to make confident, high‑impact infrastructure decisions amid rapid algorithmic and hardware change. The discussion highlights how advanced teams ground adoption in concrete operational problems, build competency around new model‑based interfaces, and use simulation and digital twins to de‑risk retooling in power‑ and compute‑constrained environments. If you want to listen to the same things that other infrastructure and AI leaders in the Fortune 500 are tuned into, then check out the AI infrastructure podcast, it's emerj.com/inf1

A surge in AI adoption is creating a rights gap inside financial institutions, where everyday workflows now generate copyrighted reproductions at a scale existing governance models were never built to manage. In this episode, Roanie Levy, Licensing and Legal Advisor at CCC, joins host Yolandi de Weerdt and examines how AI‑driven content use is outpacing traditional licensing frameworks and why leaders must verify rights before embedding copyrighted material into AI systems. The discussion highlights the operational decisions executives need to make around content governance, rights validation, and cross‑functional controls to prevent downstream legal and workflow disruption. This episode is sponsored by CCC. If you offer AI products or services into the enterprise, you need to find enterprise leaders with relevance and readiness. Emerj attracts VP+ enterprise audiences who are already convinced that they need to move *beyond* traditional IT. To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD1  

The rapid expansion of AI in financial services is creating a widening gap between enterprise ambition and the operational readiness required to deploy systems that are secure, compliant, and trusted. In this episode, Dr. Oscar A. Rodriguez, Vice President of Data Analytics at Citi, joins Daniel Faggella, Emerj CEO and Head of Research, to describe how leaders build the operating model for safe AI at scale, from aligning stakeholders to embedding governance, accountability, and data quality from the start. The discussion highlights practical decisions around cross‑functional alignment, foundation‑first governance, risk ownership, and preparing for evolving regulatory and security demands. This episode is sponsored by Securiti AI. Download the free "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1 to go deeper on how early governance prevents AI failures.

Supply chains are moving from predictable planning cycles to a reality where volatility demands continuous redesign and faster decision‑making. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, and Prasad Mahajan, Senior Director of Customer Engagement at Optilogic, examine how leaders can adapt by tightening the gap between sensing disruption and adjusting operations, as Emerj's Daniel Faggella guides the discussion toward the implications for enterprise decision speed. They outline the practical shifts required — reassessing outdated constraints, strengthening data foundations, and using scenario analysis and human‑guided AI to evaluate operational options with greater accuracy and responsiveness. This episode is sponsored by Optilogic. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprise AI initiatives consistently break down in document-heavy environments, not because the underlying models are inadequate, but because fragmented data silos, page-break context loss, and uncoordinated extraction tools erode the semantic layer AI needs to reason accurately. In this episode, Sumedh Chaudhary, CTO US Industry Market at IBM, breaks down why a multi-agent architecture is the operational prerequisite for AI to function reliably in regulated, document-intensive workflows. The conversation covers how governance frameworks with measurable error-rate targets distinguish pilot success from production failure, and how enterprises can structure a phased AI approach that blends automation, fit-for-purpose models, and human oversight. ​ This episode is sponsored by Arango. In this episode, we cover how enterprises can build multi-agent AI architectures to handle document-heavy workflows — and the governance frameworks that determine whether those deployments scale. To go deeper on this topic and learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads, download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1

Significant enterprise investment in AI-driven customer service is producing inconsistent outcomes — and the gap between deployment ambition and measurable business value remains striking. In this episode, Shri Nandan, VP of AI Products and Experiences at Comcast, examines why organizational culture and readiness are the primary determinant of whether AI in CX delivers results that move the needle. The conversation covers how to define resolution in an agentic AI environment, how context transforms the role of human agents, and why a conservative, staged rollout reduces the risk of large-scale failure. This episode is sponsored by Dialpad. In this episode, we cover how to move from AI proof-of-concepts in customer service to deployments that consistently improve business outcomes. To go deeper on this topic and learn how consultants are winning business with evidence-based AI ROI and building long-term capabilities instead of chasing short-term gains, download our free PDF report, "3 Keys to Thriving in the Coming Era of Automation" at emerj.com/cok1

Retailers managing pricing, marketing, and inventory through separate teams with separate data are losing margin not to market volatility, but to decisions that were never designed to work together. In this episode, Felix Hoffmann, CEO at 7Learnings, examines how predictive, unified commercial decision-making replaces reactive, rules-based approaches — and why most retailers underestimate how much revenue they leave on the table by optimizing each function in isolation. The conversation covers how AI-driven demand simulation enables coordinated pricing, marketing, and reordering decisions, and which commercial use cases enterprise leaders should prioritize first to prove ROI before scaling. This episode is sponsored by 7Learnings. If you offer AI products or services into the enterprise, you need to find enterprise leaders with relevance, and readiness. Emerj attracts VP+ enterprise audiences who are already convinced that they need to move beyond traditional IT. To learn the exact strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: https://go.emerj.com/partner

Enterprise software costs are rising while vendor performance often isn't, and AI has fundamentally changed what enterprises can credibly threaten to build in-house. In this episode, David Cost, Chief Digital Officer at Rainbow Apparel, explores how enterprise leaders can restructure vendor contracts to maintain exit leverage, eliminate auto-renewal traps, and use AI-enabled build alternatives as a legitimate negotiating tool. The conversation examines the cost-benefit calculus of build versus buy in the AI era, red flags in service-level agreements, and how to negotiate exits from underperforming contracts.   This episode is sponsored by UpperEdge. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Finance teams are being asked to influence outcomes in real time while operating on architectures built for delayed, aggregated, and heavily reconciled data. In this episode, Alex Curran, CEO at Aptitude Software, examines how finance functions can move toward real‑time, event‑level visibility and discusses this shift with host Dan Faggella. She highlights the practical changes required for CFOs — from capturing every financial event at the transaction level to enabling continuous reconciliation and full lineage — so finance can surface exceptions immediately and support decisions as they unfold. This episode is sponsored by Fynapse. Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data like public web and social signals to enhance risk assessment. Download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1

As enterprises move agentic AI from controlled pilots into production customer-facing workflows, the gaps in data continuity, governance, and human-agent coordination become the deciding factors in whether AI scales or stalls. In this episode, Shri Nandan, VP of AI Experiences at Comcast, examines why customer experience has become the real stress-test for enterprise AI — and what it takes to scale with customer trust intact. The conversation covers the three data foundations required for context continuity in production, practical principles for human-AI orchestration, and why cross-team governance — a single North Star across CX, IT, and operations — is what separates the organizations that scale from those that fragment. This episode is sponsored by NiCE. Learn how to structure landing pages for higher conversion and how to use self-qualification systems to prioritize high-intent leads. Download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1

The rising use of general‑purpose models in regulated environments is creating a widening gap between what AI can generate and what fiduciary professionals can safely rely on. In this episode, Steve Hasker, CEO at Thomson Reuters, examines how AI must be trained, validated, and governed to deliver the level of accuracy required in legal, tax, and audit workflows in conversation with host Dan Faggella, Emerj CEO and Head of Research. The discussion highlights the operational demands of vertical AI, the role of expert‑trained agents, and why human oversight remains essential in high‑stakes professional work. Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data like public web and social signals to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1 

Supply chain organizations still struggle to respond to major disruptions because their core planning systems can't evaluate structural options or network‑level changes at the speed required. In this episode, Joris Wijpkema, Executive Vice President for Solutions and Strategy at Optilogic, joins host Marilie Fouché and examines how a dedicated, high‑compute modeling layer enables teams to run thousands of scenarios in minutes and make faster, better‑aligned decisions. The discussion highlights how leaders can strengthen resilience by unifying data foundations, building trust in modeling before a crisis, and integrating design‑grade optimization directly into planning cycles. This episode is sponsored by Optilogic. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprise AI investments frequently succeed at the pilot stage and collapse at scale, not because the technology fails, but because the organizational conditions for adoption were never established. In this episode, Darko Todorovic, CTO at HTEC Group, examines why most AI ROI gaps originate in poor problem definition and inadequate change management, and outlines how senior leaders can build the baselines, KPIs, and organizational readiness needed to measure and sustain real returns. The conversation covers practical guidance on assessing technological and organizational maturity, avoiding POC-to-production pitfalls, and selecting the right AI tools for specific business contexts. This episode is sponsored by HTEC. In this episode we cover how enterprise leaders can measure and prove AI ROI after deployment. To go deeper on this topic and learn how to identify real AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy, download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1

Pharma commercial teams are generating more data than ever, but field intelligence is still arriving too late to change rep behavior before the engagement window closes. In this episode, Damion Nero, Global Head of Statistics at Daiichi Sankyo, joins Emerj editor Yolandi de Weerdt to examine why fragmented data pipelines, not a shortage of data, are the structural root of the gap between commercial insight and field execution. The conversation covers what separates teams that successfully adopt AI from those stuck in the pilot phase, and why starting with routine, high-certainty use cases consistently produces more commercial lift than chasing ambitious automation. This episode is sponsored by ODAIA. Learn how leading organizations approach AI investment more like a venture portfolio, and why interdisciplinary collaboration is critical to defining the right data for AI success. Download our free PDF report, "Beginning with AI," at emerj.com/aik1

Enterprise AI agents fail consistently in production, not because of model limitations, but because they lack a live, temporally aware context layer grounded in the actual current state of the business. In this episode, Ravi Marwaha, Chief Operating Officer & Chief Technology Product Officer at Arango, explores how treating context as infrastructure—rather than a data pipeline problem—enables agents to reason accurately, explain their decisions, and deliver measurable outcomes across customer support, semiconductor engineering, and clinical trial site selection. The discussion covers five practical frameworks for CIOs and chief data officers on building real-time, explainable context layers on top of existing enterprise systems, without ripping and replacing current infrastructure. This episode is sponsored by Arango. To learn how to improve landing page conversion and use self-qualification systems to identify high-intent leads, download Emerj's free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig2

Enterprise leaders face a growing gap between rapid AI advancement and the fragmented data and processes that limit their ability to operationalize it. In this episode, Guillermo Vazquez, Chief Architect in the Business Transformation Services for SAP America, examines with host Nick Gersch how harmonized data, standardized processes, and clear identification of differentiating workflows form the groundwork for effective AI‑enabled ERP. He highlights the practical sequence for building this foundation so future AI‑driven adaptation becomes seamless rather than disruptive. For AI brands trying to reach senior decision-makers, podcasts are one of the few channels that earn 20+ minutes of focused attention from VP+ leaders. Emerj reaches 1,000,000 listeners annually — see how other AI brands are driving pipeline: emerj.com/AD1

Regulatory volatility, scientific‑grade context requirements, and entrenched legacy processes are creating a level of operational complexity in pharma that makes even high‑value AI initiatives difficult to move from concept to production. In this episode, Art Shectman, CEO at Elephant Ventures, examines with host Marilie Fouché how leaders can cut through that complexity by isolating a single, clearly defined workflow slice and rebuilding it for near‑term, dependable deployment rather than long‑range architectural perfection. The discussion highlights how removing outdated process assumptions, selecting an atomic workflow with organizational alignment, and aiming for a contained operational win enable pharma teams to build momentum and scale AI responsibly in highly regulated environments. Learn how consultants are winning business with evidence-based AI ROI and building long-term capabilities instead of chasing short-term gains. Download our free PDF report, "3 Keys to Thriving in the Coming Era of Automation," at emerj.com/cok1

Individual AI productivity gains are already here, but they are uneven, and they are not the main event. In this episode, Tim Sears, Chief AI Officer at HTEC, argues that the real transformation in software development will arrive when AI becomes a catalyst for teamwork rather than an enhancer of individual performance. The conversation examines why software development is the clearest available model for how AI will eventually reshape every business function, how the developer role is being elevated from syntax and grunt work toward architecture, security, and client judgment, why the traditional build-versus-buy decision is being replaced by a build-versus-build reality, and what it will mean when perfection in enterprise software becomes the expected standard rather than the exception. For senior leaders trying to move from supporting AI in principle to actually delivering change, Sears offers a direct and practitioner-grounded view of what needs to change in teams, in expectations, and in the way business processes are understood and redesigned. AI is moving fast — new tools, new research, new use cases every week. Emerj synthesizes what matters most, so senior leaders and practitioners can stay ahead without getting buried. Join 85,000+ subscribers and get the most useful AI business insights delivered to your inbox. Visit: http://emerj.com/ad1

The skilled labor crisis in industrial equipment service is not a future problem; it is eroding operational performance now, as retiring engineers take decades of institutional knowledge with them and incoming technicians cannot fill the gap at speed. In this episode, Mike Hughes, Group Service Director at Peak International Group, outlines how service organizations can close the expertise gap through smarter knowledge capture, targeted AI deployment, and a frontline-first approach to modernization. The conversation covers remote diagnostics, first-time fix performance, the realities of working with imperfect data, and the two or three use cases leaders should prioritize before attempting a broader transformation. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

A widening gap has emerged between the speed of AI innovation and the ability of large enterprises to deploy it responsibly, leading many organizations to repeat avoidable mistakes in scaling. In this episode, Shaje Ganny, Author, Guest Lecturer, TEDx Speaker, and Digital Transformation Director at Procter & Gamble, joins Matthew DeMello to examine how leaders can ground AI adoption in clear business value and human-centered operational design. The discussion highlights practical considerations for evaluating AI through its impact on the company, the consumer, and the surrounding workforce community, and the executive education and policy foundations required to move from pilots to reliable enterprise deployment. Emerj works with a select group of AI vendors to reach Fortune 500 decision makers through research, media, and direct access.  If you want to be considered, download our media kit at http://emerj.com/AD1

The rapid shift from seat‑based licensing to hybrid and consumption‑based AI pricing has made technology spend significantly harder for enterprises to predict and control. In this episode, Adam Mansfield, Practice Leader at UpperEdge, examines how these new pricing models create financial exposure for buyers and why clear forecasting, transparency, and leverage are increasingly difficult to secure in negotiations with major vendors, in conversation with host Marilie Fouché. He highlights the practical steps leaders must take now — from auditing current usage and identifying under‑leveraged spend to engaging vendors early and using the broader. This episode is sponsored by UpperEdge. To go deeper into vendor negotiations and learn how to assess AI providers by leadership credibility and funding signals, download our free report, "5 Ways to Select the Right AI Vendor," at emerj.com/aiv3

Enterprise AI initiatives treat design as a finishing step. Carsten Wierwille, Chief Product & Design Officer at HTEC, argues that this is a strategic mistake, and one that explains why so many AI investments produce tools that work technically but fail to change how people actually work. In this episode, Wierwille examines why enterprises keep building AI because they can rather than because they understand the problem, how the shift to AI-assisted ideation has moved the bottleneck from creation to review, and why the answer is not faster shipping but sharper design clarity at the start. The conversation covers the financial advisor as a model for AI force-multiplication, why the MVP framework breaks down for genuinely novel AI experiences, how design now extends to defining the evaluation criteria for AI output, and what Wierwille calls cognitive design, the practice of thinking about how users will perceive, decide, and trust before anyone writes a line of code. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Computer vision implementations in manufacturing never advance beyond the pilot phase — not because the technology fails, but because deployment is treated as a software problem rather than an operational one. In this episode, Jeff Witt, Digital Transformation Leader at a Fortune 500 global leader in building materials and fiberglass composites, examines the architectural, organizational, and change management decisions that determine whether a vision AI initiative reaches production and scales. The conversation covers how to build a reusable data architecture for vision data, why shifting ownership from IT to business units accelerates deployment, and what a platform mindset — versus a point solution approach — looks like in a multi-site manufacturing environment. This episode is sponsored by Roboflow. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

The growing use of AI‑driven modeling in clinical development is exposing how limited traditional, single‑study dose selection and patient assessment methods have been for complex oncology programs. In this episode, Shefali Kakar, Global Head of PK Sciences and Oncology at Novartis, examines how deeper data integration across phases enables more precise dose decisions, clearer safety interpretation, and a more consistent understanding of patient variability alongside host Matthew DeMello. She outlines how longitudinal analysis, exposure–response modeling, and covariate evaluation are helping teams reduce unnecessary sub‑studies, tailor dosing for diverse patient groups, and strengthen cross‑functional decision‑making throughout development.  According to Nielsen, 91% of podcast listening happens alone, creating a focused, distraction-light environment well suited for complex B2B messaging. Learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale by downloading our media kit at go.emerj.com/partner

The pressure on financial services AI leaders to show board-level results has intensified — yet the pace of vendor pitches, shifting tooling stacks, and stalled pilots has made action feel riskier than waiting. In this episode, Art Shectman, CEO and Founder at Elephant Ventures, breaks down why the instinct to evaluate everything before building anything is the primary obstacle to production, and what a realistic first step actually looks like inside a regulated enterprise. The conversation covers how to identify the right initial workflow, how to structure a time-boxed sprint toward a minimum viable production deployment, and how to present early AI wins to boards that have stopped trusting strategy decks. This episode is sponsored by Elephant Ventures. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

The reason enterprise AI programmes stall is not the technology — it is the sequence in which decisions are made before and after the pilot succeeds. In this episode, Ronny Fehling, Chief AI Transformation Officer at HTEC, examines why AI initiatives lose momentum at the production threshold and what organisational conditions determine whether they make it through. The discussion covers production slices, decision gates with kill-switch authority, use case discipline, and why top-down AI mandates tend to reproduce the same failure modes regardless of budget. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Deepfake voice fraud is not bypassing enterprise security technology, it is beating the workflows agents rely on to make trust decisions in real time. In this episode, Jon-Rav Shende, Global CTO for Data and AI at Thales Group, outlines where enterprise voice channels are most exposed, why identity, urgency, and business action converging in a single call represents the highest risk point, and what a practical four-step response framework looks like for regulated organisations. The discussion covers how to map risky voice journeys, define escalation decision points, build the evidence chains auditors and cyber insurers will require, and deploy AI as a risk signal layer without automating high-risk actions beyond appropriate controls. ​ This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

A growing share of pharmaceutical innovation is now constrained not by scientific imagination, but by the infrastructure required to support AI at scale. In this episode of the AI in Business podcast, Thomas Fuchs, Chief AI Officer at Eli Lilly & Company, joins Matthew DeMello to explore how Lilly's new AI supercomputing platform is reshaping scientific discovery and enterprise operations. The conversation examines how large-scale computing enables more advanced models, secure and usable data environments, and faster scientific iteration across the organization. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Boards are pushing CIOs to commit to AI strategies built on contracts written for an entirely different era of enterprise software. In this episode, John Belden, Chief of Research and Strategy at UpperEdge, breaks down the six dimensions of uncertainty CIOs now face when weighing major AI and ERP commitments, and explains why the next five years are about flexibility, not productivity. The conversation covers the case for tighter SI accountability around adaptability, the practical role of contractually-protected optionality, and the difference between performance theater and the kind of continuous learning that keeps a transformation honest. This episode is sponsored by UpperEdge. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Context defines accurate, reliable AI decision‑making, forcing enterprises to confront the fragmentation that prevents systems from accessing the information those decisions depend on. In this episode, Ravi Marwaha, Chief Operating Officer & Chief Technology Product Officer at Arango, examines how AI breaks down when it is asked to reason across disconnected architectures that cannot supply a unified, critical context. The discussion highlights how leaders can isolate the information that drives real decisions, structure access so AI can use it at the moment of action, and establish governance as agent‑generated outcomes move into production. This episode is sponsored by Arango. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

A significant share of manufacturing knowledge still lives in the heads of retiring workers, and the window to capture it is closing as operations push toward AI-enabled ways of working. In this episode, Anand Gnanamoorthy, Director of Corporate Strategy and AI at Ingersoll Rand, examines how manufacturers can digitize tribal knowledge, structured operational data, and decades of unstructured archives before that context disappears. The discussion covers separating data, insights, and decision-making across AI deployments; tapping messy, unstructured data without over-cleaning it; anchoring use cases to the frontline worker rather than the process; and treating every AI project as permanently in pilot mode. This episode is sponsored by Poka. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprise service leaders are realizing that deploying AI for simple productivity gains fails to resolve the underlying issues that cause repeat truck rolls and high costs. In this episode, Niken Patel, CEO and Co-Founder at Neuron7.ai, unpacks why moving beyond basic automation requires a deterministic intelligence layer to make fragmented data ready for complex resolution decision-making. The discussion focuses on benchmarking industry performance, educating core teams on AI readiness, and establishing a data foundation that enables a transition from reactive repairs to predictive service models. This episode is sponsored by Neuron7.ai Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Energy organizations have made progress in safety, but most still rely on backward‑looking investigations rather than systems that anticipate when risk is rising. In this episode, Patricio Rivera, Former Vice President of HSE International at Oxy, joins host Matthew DeMello and examines how learning from good days and leveraging existing observation data can strengthen an organization's ability to predict and prevent safety‑critical events. He highlights the practical shifts required to extend periods of stable operations, reinforce the controls most likely to fail, and align safety practices with broader business performance expectations. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

AI enthusiasm has outpaced enterprise readiness, leaving many organizations stuck with pilots that work in the lab but fail to deliver meaningful value in production. In this episode, Lawrence Whittle, Chief Strategy Officer at HTEC Group, joins Emerj's Marilie Fouché to examine how the gap between individual users, isolated use cases, and true end‑to‑end sequences prevents companies from moving beyond experimentation. He highlights the practical shifts required — smaller real deployments, tighter scopes, faster iteration cycles, and integrated expertise — to build momentum and translate AI concepts into tangible business results. This episode is sponsored by HTEC. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Agentic AI is running into a hard limit: most enterprise systems, security layers, and operational backends aren't yet built to support automated execution at scale.  Alex Tyrrel, SVP and CTO of Health at Wolters Kluwer, joins Emerj's Matthe DeMello to unpack how agentic systems adapt models to domain‑specific tasks and act directly inside regulated environments. He outlines the practical requirements for higher‑velocity automation, including tighter APIs and entitlements, stronger observability and compliance, and backend capacity that can handle machine‑driven throughput. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

A widening gap between retiring experts, manual craftsmanship, and limited process visibility is making it increasingly difficult for manufacturers to maintain consistency, prevent errors early, and onboard new operators effectively. In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, joins Emerj's Marilie Fouche to examine how capturing best practices and connecting machines for real‑time data can tighten control and reduce variability across shifts. He highlights the practical moves leaders can make now — from standardizing training and strengthening process baselines to introducing data‑driven feedback loops that prevent scrap and stabilize production. This episode is sponsored by Poka.  Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner 

Volatility is exposing the limits of traditional scenario planning, where siloed KPIs and thin operational margins prevent enterprises from seeing how disruptions cascade across forecasting, procurement, and operations. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, joins us to examine how running hundreds of interconnected simulations enables leaders to understand enterprise‑level tradeoffs and make decisions that hold up under shifting demand and supply constraints. He highlights the need to simplify and stabilize core processes so that automation and AI strengthen decision‑making rather than amplify existing operational weaknesses. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

Voice-based fraud has moved from a fringe security concern to a primary operational risk for financial institutions and enterprise contact centers, and the authentication methods most organizations rely on are no longer adequate. In this episode, Ken Morino, Director of Market and Behavioral Research at Modulate, examines how enterprise leaders can deploy real-time voice intelligence to detect fraud patterns, protect customer trust, and build clear accountability structures across fraud, CX, and compliance teams. The discussion covers where to prioritize investment first, how to integrate voice AI without disrupting existing infrastructure, and why smaller specialized models outperform large general-purpose systems in regulated environments. This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

The consistency gap in enterprise AI represents a critical failure point where unpredictable system behavior outside of controlled demos threatens to derail executive sponsorship and regulatory compliance. In this episode, Amar Akshat, SVP & Chief Architect at Paysafe, examines how leaders can move beyond experimental shadow AI by embedding determinism and high-threshold guardrails directly into the production pipeline. The discussion outlines a rigorous evaluation framework centered on treating prompts as versioned intellectual property, implementing Know Your Agent (KYA) policy envelopes, and ensuring every agentic decision remains holistically auditable. Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner

Legacy financial systems often trap organizations in "data swamps" where AI is mistakenly treated as a magic fix for fundamentally broken manual architectures. In this episode, Juan Orlandini, CTO of North America at Insight, outlines why senior executives must distinguish between statistical AI outputs and the mathematical precision required for financial compliance to avoid significant reporting risks. The conversation provides a roadmap for building a scalable operating layer by prioritizing data engineering and leveraging established vendor knowledge to protect long-term investment. This episode is sponsored by K1x. Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner

R&D teams are starting to advance AI capabilities faster than they can translate them into measurable business value, creating mounting friction between scientific progress and operational reality. In this episode, Aziz Nazha, Global Head of AI Innovations Institute at Incyte Pharmaceuticals, examines how culture, talent, infrastructure, and expectation‑setting determine whether AI meaningfully improves drug discovery and development. He highlights the practical shifts required — from redesigning workflows to disciplined upskilling and targeted validation cycles — to ensure AI adoption accelerates cycle times rather than getting stalled by organizational bottlenecks. This episode is sponsored by Deloitte. Learn how brands like Deloitte work with Emerj and other Emerj Media options at go.emerj.com/partner

A recurring challenge for leaders is that the use cases they expect to automate rarely match what customers actually struggle with once large‑scale conversation data is analyzed. In this episode, Shezan Kazi, Head of AI Transformation and AI Products at Dialpad, examines how autonomous agents should take the first pass on high‑volume deterministic requests, when they must hand off to humans, and why confidence scoring and oversight models are essential for safe deployment. He highlights the practical steps leaders can take — from starting with low‑risk, high‑impact tasks to redesigning processes around real interaction data — to expand automation responsibly and improve customer outcomes over time. This episode is sponsored by Dialpad. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

A major shift is underway as enterprises move from lab‑ready computer vision to the far more complex reality of deploying visual intelligence across messy, variable, high‑stakes physical environments. In this episode, Joseph Nelson, Co‑founder and CEO at Roboflow, examines how dependable visual data, models tuned to real operating conditions, and integration with existing production and safety systems determine whether visual AI delivers meaningful value. He highlights the practical moves that matter most: securing consistent visibility into key processes, choosing a first deployment that proves impact, and scaling only once the operational foundations are in place. This episode is sponsored by Roboflow. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Today's guest is Aaron Demory, Senior Partner at Fearlus and Chief of Information Technology and Security at the FDIC. Fearlus is a strategic governance and risk innovation firm headquartered in Washington, D.C., founded in 2024. They offer the Fearlus Risk Operating Model, a structured approach designed to help organizations align strategy, execution, and governance through cognitive infrastructure and decision clarity. Aaron joins Emerj Editorial Director Matthew DeMello on today's show to share insight on how regulated institutions are approaching generative AI with caution and clarity, focusing on foundational governance, narrow pilot use cases, and maintaining public trust. The conversation highlights emerging best practices for evaluating large language models, implementing explainability frameworks, and balancing experimentation with accountability. If you find the episode useful, please leave us a five-star review on your preferred podcast platform. Learn how brands work with Emerj and other Emerj Media options at http://go.emerj.com/partner

Operational complexity in modern distribution centers is accelerating faster than most organizations can adapt, leaving leaders with fragmented data, static facility designs, and inefficiencies that compound across planning and fulfillment. In this episode, Jerod Hamilton, Director of 3PL Warehouse Strategy at Tyson Foods, joins Emerj's Marilie Fouche to examine how disconnected forecasting and warehousing systems limit real‑time decisioning and obscure the true sources of leakage inside large‑scale operations. He highlights the need for integrated planning signals and more adaptive warehouse systems that can adjust placement and movement decisions as demand shifts, rather than weeks after inefficiencies have already taken hold. This episode is sponsored by Easy Metrics. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Today's guest is Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen. Amgen is a global biotechnology company focused on discovering, developing, and delivering medicines for serious illnesses. Emma joins Emerj Editorial Director Matthew DeMello to examine how data and AI are reshaping patient recruitment, decentralized clinical trials, and compliance workflows in highly regulated healthcare environments. Emma also discusses practical ways AI can surface unstructured genomic and clinical data to improve patient identification, how API-based access supports hypothesis testing without large-scale data movement, and how modular consent and explainable AI frameworks help sponsors scale trial operations while maintaining regulatory trust and patient transparency. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Aging expertise, paper‑based instructions, and inconsistent onboarding are creating a widening execution gap on the factory floor as experienced workers retire and new operators expect real‑time digital support. In this episode, Antoine Bisson, CEO and Co‑Founder at Poka, examines how manufacturers can capture institutional knowledge and convert it into structured digital guidance that accelerates training and stabilizes performance. Poka is a connected‑worker platform for manufacturers. It digitizes work instructions and training, uses AI to convert legacy knowledge into structured content, and delivers contextual guidance to frontline teams in real time. The discussion highlights how AI‑generated instructions, contextual support, and focused early use cases help leaders reduce variability, strengthen continuity, and move teams toward more proactive operations. This episode is sponsored by Poka. Learn how brands work with Emerj and other Emerj Media options at  go.emerj.com/partner

Tax processes remain constrained by document-based workflows that limit data accessibility, speed, and cross-system integration. In this episode, Neal Schneider, Co-Founder and CTO at K1x, and Ken Powell, Chief Revenue Officer at K1x, unpack how shifting to standardized, connected tax data enables more efficient processing, interoperability, and improved use of information across stakeholders. The discussion focuses on reducing manual data handling, progressing through stages of data maturity, and using centralized data to support faster processing and more informed client work. This episode is sponsored by K1x. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

The gap between customer expectations and operational delivery is widening as traditional reactive service models struggle with volume volatility and workforce attrition. In this episode, Philipp Heltewig, Chief AI Officer at NiCE, unpacks how enterprises can transition to a proactive, AI-first customer experience by rethinking core service processes for the age of automation. The discussion outlines the shift from measuring simple deflection to prioritizing resolution quality, alongside the technical requirements for structuring APIs and knowledge bases to support high-performance AI agents. This episode is sponsored by NiCE. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprise legal departments are currently navigating a breakdown in AI adoption caused by scattered data, inconsistent global regulations, and a lack of clear governance for grading automated workflows. In this episode, Christo Siebrits, Senior Associate and General Counsel at AbbVie, outlines how a validated internal large language model environment combined with a forced-ranking strategy for use cases can mitigate risk while focusing technical resources on high-value initiatives. The discussion focuses on practical frameworks for cross-functional training, aligning with the EU AI Act, and integrating legal oversight into early-stage technical development to ensure scalable and compliant innovation. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert.for more information and to be a potential future guest on the 'AI in Business' podcast!

Supply chains are being pushed to move faster while geopolitical volatility makes traditional planning cycles increasingly fragile for global enterprises. In this episode, Edmund Zagorin, Founding Chief Strategy Officer at Arkestro, and Mike Shin, Chief Supply Chain Officer at Trinity Rail Industries, join Daniel Faggella, Emerj CEO and Head of Research, to examine how proactive, data‑driven procurement models help organizations balance cost, capacity, and continuity under these conditions. They highlight how offer‑driven sourcing, automated contract intelligence, and supplier‑alternative discovery shorten decision cycles, surface hidden risks, and strengthen collaboration across procurement and supply chain teams. This episode is sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner.  Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

The collapse of traditional, static survey models at scale creates a systemic visibility gap that transforms multi-tier supply chain dependencies into boardroom-level risks. In this Aravo-sponsored episode, Carey Smith, former CIO and Chief Technology Innovation Officer of Blue Cross Blue Shield of Minnesota and President and CIO of XcelerateHealth, outlines how enterprises must transition to continuous, AI-enabled monitoring to achieve deterministic explainability in risk scoring. The discussion focuses on shifting from simple risk detection to operational resilience by automating remediation playbooks and segmenting vendor scrutiny based on business materiality Want to share your AI adoption story with executive peers? Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprises are facing an 80% failure rate for AI agents in complex tasks because these systems lack the deep understanding required to navigate established legacy environments and existing internal systems. In this episode, Eran Yahav, CTO and co-founder at Tabnine, outlines how an enterprise context engine acts as a persistent memory and mapping layer that onboards AI systems into specific business logic, security perimeters, and organizational dependencies. The conversation highlights how this infrastructure can double agent success rates and reduce token costs by 80% while allowing technical leaders to establish swim lanes that ensure agents operate reliably within complex software architectures. This episode is sponsored by Tabnine. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner.  Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

AI adoption is forcing a shift from automating yesterday's processes to redesigning the enterprise for differentiation and growth. In this episode, Dan Diasio, Global AI Consulting Leader and Americas Consulting CTO at EY, joins Emerj's Matthew DeMello to unpack why leading organizations are reallocating AI gains toward workforce reinvention, new operating models, and competitive advantage rather than headcount reduction. The conversation distills how executives are reframing investment strategy, avoiding the visibility trap, and aligning mindset, skill set, and tool set to unlock enterprise‑level value. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast! Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

The contact center is shifting from a service channel to a primary point of fraud, where text‑based systems fail to catch the signals that surface only in live voice. In this episode, Mike Pappas, CEO & Co‑Founder at Modulate, joins Emerj's Nick Gertsch to examine how audio‑native, multi‑model analysis exposes social engineering and deepfake‑driven threats that traditional tools routinely miss. The discussion highlights how leaders can strengthen real‑time detection, limit downstream financial and regulatory impact, and evaluate voice‑AI systems based on accuracy, speed, and adaptability to evolving fraud tactics. This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options atgo.emerj.com/partner. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

A growing number of enterprises are discovering that early agent wins don't translate into scale because agents can connect but cannot yet share context or improve as a coordinated system. In this episode, Papi Menon, Vice President of Product Management and Chief Product Officer at Outshift by Cisco, joins Emerj's Matthew DeMello to unpack why the missing cognitive layer in multi‑agent environments limits progress and what it will take for agents to operate as a collective rather than isolated tools. He highlights how leaders can make meaningful headway by choosing low‑risk, high‑impact starting points and building on open, interoperable foundations that support future evolution. This episode is sponsored by Outshift by Cisco. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Financial institutions are finding that the primary bottleneck to AI adoption isn't the technology itself, but the inability to govern sensitive data with the precision required for enterprise-scale deployment. In this episode, Mark Crean, Regional Vice President of Sales from Securiti AI and James Dean, AI Specialist at Google Cloud, breaks down how fragmented data and access risks keep high-value use cases trapped in the pilot phase. They outline the shift toward disciplined data classification and the cross-team alignment necessary to transition AI into regulated, revenue-critical workflows. The conversation highlights why remediation and traceability have become the ultimate benchmarks for safety and ROI in the sector. This episode is sponsored by Securiti AI. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

A decade of stalled industrial AI efforts has given way to a new phase where agentic systems can finally handle complex, variable operational tasks without the brittle constraints of earlier automation. In this episode, Somya Kapoor, CEO at IFS Loops, joins Daniel Faggella Emerj CEO and Head of Research to examine how digital workers can be introduced as task‑specific assistants that learn from business instructions and progressively take on procurement, service, and back‑office responsibilities. She highlights the shift toward managing these agents alongside human teams, emphasizing focused adoption, measurable operational gains, and the need for built‑in oversight, auditability, and guardrails. This episode is sponsored by IFS. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Enterprise AI is outpacing the operating models built to support it, forcing leaders to reconcile rapid iteration with safety, governance, and real‑world scale. In this episode, David Glick, SVP of Enterprise Business Services at Walmart, examines how stopwatch‑speed prototyping, nano‑agent architectures, and evolving security processes are reshaping enterprise delivery. The discussion highlights shifts from monoliths to federated agents, faster iteration cycles, and the emerging need to build the machine that builds the machine. Executives shaping real AI outcomes are invited to contribute their lessons to a curated peer audience. Learn more at go.emerj.com/expert to be considered for a future 'AI in Business' episode. Align your brand with the executives defining the enterprise AI agenda—partner at go.emerj.com/partner

The traditional focus on supply chain efficiency has created brittle networks that break under modern volatility and shifting global trade consensus. Optilogic provides an AI‑native platform for supply chain design, where autonomous agents build models, generate scenarios, and evaluate network tradeoffs. In this episode, Don Hicks, CEO at Optilogic, unpacks why enterprise leaders must run supply chain planning and design as parallel, symbiotic processes to move beyond current network constraints and build for long-term resilience. The discussion outlines a framework for using AI to automate routine tactical decisions while leveraging human-led what-if simulations to architect future-state competitive advantages. This episode is sponsored by Optilogic. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner 

The reliance on historical data and manual CRM entry has created a significant gap between internal strategy and the real-time signals driving today's complex medical technology market. In this episode, Mike Monovoukas, CEO and Co-founder, and Alex Wakefield, CRO at AcuityMD, examine how operationalizing AI through proactive market signals and field-based insights can drive revenue growth by increasing representative effectiveness. The discussion outlines frameworks for achieving 10x efficiency gains by integrating voice-driven workflows and predictive data to accelerate territory onboarding and eliminate administrative burdens. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert  for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by AcuityMD.

In today's episode sponsored by K1x, the accounting sector faces a critical inflection point as a deficit of 300,000 professionals intersects with escalating regulatory complexity and a doubling of alternative investment data. Ken Powell, Chief Revenue Officer at K1x, examines how sophisticated tax technology is facilitating a transition from experimental pilot programs to the institutional deployment of automated workflows that neutralize the limitations of manual compliance. The discussion outlines a strategic framework for implementing straight-through processing to extract intricate, non-standardized data from supplemental disclosures, effectively compressing a week of manual labor into several hours. Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Enterprise data estates often optimize for platform expansion over decision velocity, producing reporting layers that signal activity but fail to accelerate strategic outcomes. In this episode, Barry McCardel, CEO at Hex, examines how leading organizations can compress the gap between executive questions and decision-grade insight to materially increase the enterprise value of data. The discussion focuses on tightening feedback loops, operationalizing collaborative and AI-augmented analysis, and redefining data ROI around adoption, trust, and measurable business impact rather than production metrics. This episode is sponsored by Hex. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner. Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota. With deep experience leading enterprise AI strategy in regulated healthcare, Ylan brings a grounded perspective on how organizations can innovate responsibly with emerging technology. Ylan joins Emerj Emerj Client Narrative & Content Strategy Lead Nick Gertsch to discuss how healthcare leaders can approach AI adoption through clear organizational posture, strong governance, and a focus on measurable customer and operational value. Ylan also shares practical takeaways, including balancing build-versus-buy decisions, embedding explainability and auditability into workflows, and prioritizing AI use cases that reduce friction in the patient experience while delivering sustainable ROI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Customer service leaders face rising pressure to resolve more interactions faster, while maintaining high-quality experiences — and many legacy systems and processes can't keep up. In this episode, Craig Walker, CEO of Dialpad, joins Daniel Faggella, Emerj CEO and Head of Research, to break down how AI can augment human agents to handle routine requests like order status and password resets, freeing teams to focus on complex issues. He shares actionable strategies for enterprise leaders, from cleaning knowledge bases and analyzing ticket patterns to running controlled pilots and scaling AI agents across the organization. Craig also explains how AI can coach agents in real time and surface insights for managers, creating a continuously improving support system that drives measurable ROI. This episode is sponsored by Dialpad. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1 Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

The critical bottleneck in small commercial pricing is no longer the actuarial model itself, but the operational friction and administrative stagnation that occurs during the transition from indication to production deployment. In this episode, Barbara Stacer, Vice President and Head of Small Commercial Underwriting and Underwriting Operations at Utica National Insurance Group, unpacks how carriers can eliminate premium leakage and accelerate speed-to-market by implementing standardized operational infrastructure to automate versioning, documentation, and governance. The discussion outlines a practical framework for mapping pricing lifecycles to identify specific deployment delays and transitioning to a governed environment where audit trails are synchronized with rate adjustments. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship 'AI in Business' podcast! This episode is sponsored by Akur8.

Today's guest is Carey Smith, Former President and CIO of XcelerateHealth and Chief Technology Innovation Officer (CTIO) of Blue Cross and Blue Shield of Minnesota. XcelerateHealth is a health-tech startup and business unit of Blue Cross and Blue Shield of Minnesota, focused on AI-driven digital products to transform healthcare insurance experiences. Carey joins Emerj's Nick Gertsch to discuss how leaders can structure talent and workforce AI so decisions are consistent, reviewable, and aligned with organizational controls. Smith also shares practical steps for tightening decision rights, improving data readiness, and designing workflows where AI accelerates hiring and mobility without increasing risk. This episode is sponsored by Eightfold AI. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Commercial life‑sciences teams are facing a widening gap between strong brand strategy and fragmented real‑world execution, driven by misaligned workflows, static targeting, and an inability to act at the speed patients move through their therapeutic journeys. In this episode, Philip Poulidis, CEO and Co-founder of ODAIA, unpacks how AI can close that gap by connecting brand intent to real‑time execution, enabling teams to prioritize the right HCPs, orchestrate engagement, and measure impact through outcomes rather than activity metrics. He highlights the practical shifts required to get there — from cross‑functional adoption and workflow‑embedded insights to attribution modeling, efficiency gains, and focused pilots that prove value quickly. This episode is sponsored by ODAIA. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner. Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Raghu Ahobilam, Global Director of Inventory and Assets at NOV. Raghu brings global leadership experience across inventory management, asset strategy, and operational transformation in the energy and industrial manufacturing sector. Raghu joins Daniel Faggella Emerj CEO and Head of Research to examine how enterprise data foundations and emerging AI capabilities are reshaping maintenance, asset utilization, and cross-functional decision-making in complex, legacy environments. Raghu also shares practical approaches to building KPI-driven dashboards, prioritizing predictive use cases, improving asset deployment across regions, and strengthening business cases for ROI across supply chain, manufacturing, and operations. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you're interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1

Enterprise risk leaders are currently struggling to move beyond static, episodic checklists while managing the data "fire hose" generated by continuous monitoring. In this episode, Dean Alms, Chief Product Officer, and Eric Hensley, Chief Technology Officer at Aravo, break down how AI-native orchestration transforms fragmented risk data into a holistic, board-level resilience strategy. They examine practical shifts toward exception-based monitoring, the automation of rote tasks like document ingestion, and the necessity of governing "responsible AI" practices within the vendor ecosystem. This episode is sponsored by Aravo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner. Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Eliminating the friction caused by fragmented customer context is a primary mandate for enterprise operations leaders. Joe Atamian, Vice President at Comcast, joins the program to discuss the transition to an AI-first operating model — where AI acts as the connective infrastructure that maintains history and intent across IVR, chat, and live agents. This briefing explores how the Fortune 500 can move human teams away from system navigation and toward high-value judgment, empathy, and resolution. This episode is sponsored by Atlan. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/media_kit

Today's guest is Hemant Banavar, Chief Product Officer at Motive. Hemant leads product strategy for AI-driven systems that bring real-time visibility and decision support to safety-critical physical operations. Hemant joins Emerj Editorial Director Matthew DeMello to unpack what changes when AI moves from after-the-fact reporting to edge-based, real-time detection and feedback — where accuracy and low latency determine whether insights actually prevent incidents. Hemant also shares practical takeaways on replacing lagging indicators with frontline feedback loops, combining video and operational telemetry to surface actionable risk signals, and building an ROI case through fewer incidents, lower insurance and fuel costs, and more consistent operational performance. This episode is sponsored by Motive. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show. Episode Notes: 12:33 - 12:50: Since January 1, 2023, Motive estimate that the Motive AI Dashcam is estimated to have helped prevent over 170,000 accidents and saved 1,500 lives 12:46: Based on an internal study of customers with 150 or more active monthly vehicles and at least 90% AI Dashcam adoption for at least 12 months. Some of the AI Dashcam Plus features like hands-free communication aren't available until later in 2026. For more, visit: https://gomotive.com/blog/introducing-ai-dashcam-plus/

Today's guest is Umesh Rustogi, General Manager of Dragon for Nursing at Microsoft Health & Life Sciences. An expert in applying AI to clinical workflows, Umesh joins Emerj Editorial Director Matthew DeMello to explain how healthcare organizations are moving AI from pilot programs to real-world adoption. Umesh also shares practical strategies for reducing nurse documentation burden, improving accuracy and compliance, and turning AI deployments into measurable operational and patient-care impact. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/media_kit.

Today's guest is Dan Keto, President and Co-founder at Easy Metrics, where he focuses on helping warehouse and distribution teams turn fragmented transactional data into a unified "single pane of glass" that supports faster diagnosis of variance and more defensible decision-making. Dan joins Emerj's Matthew DeMello to explore what a solid data foundation looks like in warehouse networks — and why it matters before teams attempt to layer AI on top. He also shares practical takeaways on how enterprises can align stakeholders around a common data language, avoid costly "AI-first" missteps, and use repeatable investigations and alerts to surface real cost drivers. This episode is sponsored by Easy Metrics. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Nishtha Jain, AI Innovation Leader. Nishtha leads enterprise data and AI strategy in the biopharma sector, focusing on aligning advanced analytics and AI systems with real-world clinical, regulatory, and operational workflows. Nishtha joins Emerj Client Narrative & Content Strategy Lead Nick Gertsch to examine why most enterprise AI pilots fail to scale, how unrealistic expectations and poorly defined use cases undermine ROI, and what it takes to design human-centered AI systems that fit how teams actually work in regulated environments. Nishtha also breaks down practical frameworks for measuring value beyond headcount reduction, including return on employee experience and long-term capability building, along with concrete approaches to faster experimentation, customer-driven use-case prioritization, and building flexible operating models that adapt as technology and market conditions evolve. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Stephen Wolfram, Founder and CEO of Wolfram Research. Wolfram is a pioneering computer scientist and physicist, best known for creating Mathematica and Wolfram|Alpha, and for decades of work on complexity, computation, and the foundations of how systems evolve. Stephen joins Emerj CEO and Head of Research Daniel Faggella to explore how simple computational rules can give rise to complex, unpredictable systems, and what that means for the future of intelligence beyond biological life. The conversation examines concepts like computational irreducibility, adaptive evolution, and "bulk orchestration" at the molecular and digital level, framing how AI systems, biological organisms, and even physical processes can be understood as part of a broader computational universe. Stephen also shares practical perspectives on how these ideas translate into real-world AI development, including why coarse, outcome-driven objectives often outperform overly rigid design in machine learning, how enterprises can think about building systems that evolve rather than simply execute, and what leaders should understand about the limits of predictability, governance, and control as AI becomes more deeply embedded in business workflows. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!  

Today's guest is Naveen Kumar, Head of AI Governance at TD Bank. With extensive experience in AI risk management and governance, he provides actionable strategies for secure AI scaling in regulated environments. Naveen joins Emerj Editorial Director Matthew DeMello to discuss foundational challenges blocking AI adoption in banking, including data leakage, prompt injection, shadow AI, and hallucinations. Naveen also shares practical takeaways, such as role-based AI guardrails for data access, safe sandboxes for experimentation, hybrid deployments to protect sensitive data, and treating AI agents as de-risked employees with human oversight for compliance and ROI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Dean Alms, Chief Product Officer at Aravo. Aravo is an enterprise software company focused on third-party risk management and compliance platforms that help organizations manage vendor, supplier, and partner ecosystems across regulatory, operational, and reputational risk domains. Dean joins Emerj Editorial Director Matthew DeMello to examine how third-party risk has evolved into a data and AI-driven, board-level visibility and resilience challenge, and how automation is reshaping the way enterprises identify, remediate, and monitor risk at scale. Dean also shares practical workflow changes, including using AI to automate document ingestion and survey validation, generate corrective actions, and enable natural language access to risk data. The discussion highlights how these approaches reduce operational cost, improve data integrity, support continuous monitoring models, and help enterprise leaders protect revenue, reputation, and regulatory posture across complex supplier networks. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Aravo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Vijoy Pandey, Special Vice President and General Manager for Outshift by Cisco. Vijoy leads Cisco's internal incubation and strategy efforts focused on emerging technologies, platform development, and reducing technology and market risk as new capabilities move toward enterprise adoption. Vijoy joins Emerj Editorial Director Matthew DeMello to discuss how enterprises are shifting from deterministic systems to probabilistic, agent-driven architectures, and what that means for interoperability, governance, and deploying AI safely at scale. Vijoy also shares practical takeaways on building multi-agent workflows, implementing task- and transaction-based access control, and using simulation and validation layers to reduce operational risk and improve ROI in regulated and mission-critical environments. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Outshift by Cisco. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Gillian Hinkle, Senior Director of Growth & Digital Marketing for Heroku at Salesforce. Gillian brings extensive experience in enterprise growth strategy, digital operations, and the practical deployment of data and AI across complex marketing and revenue workflows. Gillian joins Emerj Editorial Director Matthew DeMello to explore how enterprise leaders can distinguish automation from true AI, design human-in-the-loop systems, and deploy generative and agentic tools responsibly inside real-world data environments. The conversation also examines how to reduce tool sprawl, strengthen data governance, and focus AI initiatives on high-impact workflows like lead qualification and customer service handoffs to drive measurable efficiency, improve employee engagement, and lower compliance and brand risk. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is David Carmona, Vice President of Discovery & Quantum at Microsoft. David leads work at the intersection of AI, scientific discovery, and advanced computing, with a focus on scaling research innovation in complex, regulated environments. David joins Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders should think about AI's role in transforming R&D beyond productivity gains—toward net-new discovery, augmented scientific reasoning, and structurally different innovation workflows. The conversation explores why R&D represents one of the highest-impact domains for AI adoption, and how coordinated systems of specialized models and agents are reshaping the scientific method itself. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Matthew and David's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Today's guest is Ylan Kazi, Chief Data and AI Officer, Blue Cross Blue Shield of North Dakota. Ylan joins Emerj Client Narrative & Content Strategy Lead Nick Gertsch to explore balancing AI innovation with risk governance in regulated healthcare sectors. Ylan also shares practical takeaways like forming cross-functional teams for realistic policy development, applying an AI Hippocratic Oath by starting with low-risk use cases to refine processes, and leveraging AI to improve patient experiences through lab result explanations and wait time predictions. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guests are Daniel Lidar, Holder of the Viterbi Professorship of Engineering at USC, Director of the USC Center for Quantum Information Science & Technology, co-founder and CSO of Quantum Elements, Inc., and Izhar Medalsy, Co-founder and CEO of Quantum Elements. Quantum Elements develops tools to reduce noise in quantum computers for scalable performance. Daniel and Izhar join Emerj Editorial Director Matthew DeMello to explore why quantum computing is entering enterprise strategy now, explaining qubits, quantum simulation, and practical applications beyond hype. Daniel and Izhar also share practical takeaways like quantum simulation for accurate materials and drug design, optimization for financial portfolios, post-quantum encryption for data centers, and assessing business impact by identifying problems quantum solves today. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Nina Edwards, Vice President of Emerging Technology and Innovation at Prudential Insurance. With decades of experience driving strategy, innovation, and AI-enabled growth at leading financial and consulting firms, Nina brings deep expertise in applied intelligence and emerging technology. Nina joins Emerj Editorial Director Matthew DeMello to discuss how enterprises can adopt AI safely and effectively, balancing innovation with compliance while mitigating data and copyright risks. She also shares practical takeaways, including implementing instrumented sandboxes, structured licensing, and governance frameworks that boost experimentation confidence, reduce risk, and deliver measurable ROI across business workflows. This episode is sponsored by CCC. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Join an exclusive circle of executive leaders shaping the future of AI. Apply to be a guest on the 'AI in Business' podcast at emerj.com/expert2 – share your insights with peers, cement your reputation as a forward-thinking innovator, and have your expertise highlighted to a curated audience of decision-makers.

Today's guest is Thomas Holmes, Chief Actuary, North America at Akur8. Holmes works at the intersection of actuarial pricing, AI governance, and operationalizing analytics inside regulated insurance environments. Thomas joins Emerj Editorial Director Matthew DeMello to discuss how insurers move from AI experimentation to enterprise deployment — particularly when models must satisfy regulators, executives, and the realities of day-to-day actuarial and IT workflows. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Akur8. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen, where she leads initiatives at the intersection of digital health, data strategy, and clinical innovation. Emma joins Emerj Editorial Senior Editor Marilie Fouche to explore how data and AI are reshaping patient recruitment, consent, and execution in clinical trials, with a focus on decentralized models, scalable compliance, and explainable AI in regulated environments. Emma also shares practical guidance for enterprise leaders on where AI is delivering near-term ROI today, including accelerating patient screening by surfacing unstructured data, reducing enrollment delays through digital and remote monitoring tools, and designing modular, plug-and-play AI platforms that balance speed, flexibility, and regulatory trust. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Vasili Triant, CEO of UJET. UJET is a next-generation cloud contact center platform leveraging AI to modernize customer experiences. Vasili joins Emerj Editorial Director Matthew DeMello to unpack the shift from reactive customer service to proactive, data-driven engagement — and why the transition matters for enterprises rethinking the role of their contact centers. The conversation also explores how fragmented data stacks hinder real-time decision-making, why proactive service improves lifetime customer value, and what enterprises can change today to build contact centers that operate more like strategic customer hubs than cost centers. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by UJET.

Today's guest is Rommel Ong, Regional Service Director at Belimed. Belimed provides sterilization and infection control solutions for healthcare facilities. Rommel joins Emerj Editorial Director Matthew DeMello to explore how data and AI address field service challenges like staffing shortages, paperwork burdens, and capturing tribal knowledge from veteran technicians. Rommel also shares practical takeaways, such as using chat systems to search for error codes and share solutions across teams, net promoter scores for tracking customer sentiment, and remote equipment monitoring to predict issues, reduce on-site visits, and enable proactive service efficiencies. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Thomas Holmes, Chief Actuary for North America at Akur8. Holmes focuses on how actuarial teams can modernize pricing and reserving with automation and AI while maintaining governance and actuarial soundness. Thomas joins Emerj Editorial Director Matthew DeMello to discuss why pricing and reserving modernization is hard to execute in practice, and how insurers can adopt AI with the governance and explainability actuarial teams require. The conversation also covers starting with a clear problem statement, avoiding generic "bolt-on" AI approaches, and targeting small wins that deliver measurable workflow and cycle-time improvements. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast. This episode is sponsored by Akur8. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Prukalpa Sankar, Co-Founder & CEO at Atlan. Atlan is a metadata platform delivering data and AI governance. Combining enterprise data with AI infrastructure with business context and security, Atlan allows humans and AI agents to find, trust, and govern data across the entire enterprise. Prukalpa joins Emerj Editorial Director Matthew DeMello to unpack why so many enterprise AI pilots still fail in production — and why solving for context rather than just data volume or model complexity is becoming the decisive factor. The conversation also highlights how leading enterprises are closing this context gap and what "context readiness" means for any organisation aiming to operationalise AI in 2026. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Atlan.

Today's guest is Vaithi Bharath, Associate Director of Data Science & AI Solutions at Bayer. Bharath joins Emerj Editorial Director Matthew DeMello to break down why clinical R&D timelines often slip for reasons that have little to do with model performance. Rather, delays compound when data moves across fragmented systems, teams rely on slow handoffs, and validation requirements turn minor adjustments into major cycle-time hits. He walks through where decision-making slows from data capture through database lock, and what it takes to accelerate workflows without replacing a validated environment. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by AnswerRocket.

Today's guest is Tami Craig Schilling, Vice President of Agronomic Digital Innovation at Bayer Crop Science. Tami brings decades of expertise in agricultural sales, R&D, and digital tools for farmer support. Tami joins Emerj Editorial Director Matthew DeMello to explore how generative AI delivers localized recommendations across the plan-plant-grow-harvest cycle amid variable soil, practices, and weather conditions. Tami also shares practical takeaways like using zip code-based tools such as ELI for prompting that triangulates genetics, environment, and pests—augmenting human expertise with precise agronomy advice, prompt guides for optimal outputs, and scale-neutral support from commercial to smallholder farmers. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Baker Johnson, Chief Business Officer at UJET. UJET is a next-generation cloud contact center platform that leverages AI to modernize the customer experience. Baker joins Emerj Editorial Director Matthew DeMello to explain why conversational and agentic AI often fall short in CX, and how legacy processes and fragmented data prevent meaningful results. Baker also offers practical steps for improving ROI — from redesigning workflows before automating them to aligning real-time interaction data with systems of record and building a healthier balance between human and AI agents. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by UJET.

Today's guest is Sandro Venturini, Executive Director at UBS Asset Management Switzerland. Sandro brings deep expertise in fund structuring, cross-border launches, and data integration for financial services. Sandro joins Emerj Editorial Director Matthew DeMello to explore how fragmented fund data creates silos in mergers and launches, and how a single source of truth enables AI to streamline compliance and reporting. Sandro also shares practical takeaways, such as using AI to anticipate stakeholder concerns from term sheets, generate draft prospectuses that slash legal fees and formation costs, and customize investor reporting to reduce manual errors across share classes. Just a quick note for our audience that the views expressed by Sandro Venturini on today's program do not reflect those of UBS or its leadership. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Kuo Zhang, President of Alibaba.com. Alibaba.com is a global B2B marketplace connecting small and mid-sized businesses with manufacturers and suppliers worldwide. Kuo joins Emerj Editorial Director Matthew DeMello for an exclusive interview following his keynote address at this year's CoCreate event in Las Vegas to discuss how agentic AI is lowering barriers to global sourcing, transforming procurement workflows, and reshaping how organizations of all sizes move from product idea to execution. Kuo also breaks down the practical efficiencies emerging from AI-driven automation—from reducing manual supplier communication to streamlining global transactions and trade assurance—and explains where enterprises are already seeing measurable ROI through faster cycle times, expanded sourcing options, and increased operational resilience. You can read an article analysis of today's conversation, originally published on Emerj.com, here. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Matt and Kuo's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Today's guest is Nina Edwards, Vice President of Emerging Technology and Innovation at Prudential Insurance. With decades of experience driving strategy, innovation, and AI-enabled growth at leading financial and consulting firms, Nina brings deep expertise in applied intelligence and emerging technology.​​ Nina joins Emerj Editorial Director Matthew DeMello to unpack why 95% of AI pilots fail to deliver enterprise value and reveal strategies for translating productivity gains into measurable ROI by ditching pre-AI metrics.​ Nina also shares practical takeaways, including protected sandboxes that slash approval cycles from months to days, unified KPI glossaries standardizing cycle time and exception rates, outcome charters targeting business value, and human-centered operating models shifting teams from doing to deciding to scale pilots enterprise-wide. This episode is sponsored by Moody's. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Robert Wenier, Global Head of Cloud and Infrastructure at AstraZeneca. Robert leads enterprise cloud, infrastructure, and platform strategy across a highly regulated, data-intensive global organization. Robert joins Emerj CEO and Head of Research Daniel Faggella to discuss how enterprise data and AI architectures are shifting from service-oriented and microservice models toward emerging agentic architectures that prioritize end-to-end business outcomes over stepwise technical execution. The conversation explores why AI is moving from a supporting role to a direct driver of competitive advantage, and how this changes expectations for infrastructure, data strategy, and leadership ownership. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Daniel and Robert's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Today's guest is Naveen Kumar, Head of Insider Risk, Analytics, and Detection at TD Bank. With deep expertise in financial crime and risk analytics, he offers a frontline view into how regulated institutions manage AI securely at scale. Naveen joins Emerj Editorial Director Matthew DeMello to discuss the foundations required for responsible AI adoption in banking — from data protection and governance to fraud prevention and machine-assisted investigation. Naveen also breaks down practical steps leaders can take to improve ROI, including role-based AI access, full data visibility, and phasing innovation to meet regulatory expectations. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by NLP Logix.

Today's guest is Kun He, Lead Scientific Advisor at Bayer Crop Science. He joins Emerj Editorial Director Matthew DeMello to discuss how AI is transforming human talent and workforce development in agricultural manufacturing, balancing data-driven efficiency with the irreplaceable role of human gut instinct. Kun also explores practical takeaways, such as integrating genotyping and phenotyping data to accelerate crop-breeding workflows, empowering breeders to drive "step change" innovations, and treating AI as a co-pilot to check biases while prioritizing customer needs for blockbuster R&D outcomes. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Chris Joynt, Director of Product Marketing at Securiti. Securiti is a leader in AI-powered data security, privacy, and governance across hybrid and multi-cloud environments. Chris joins Emerj Editorial Director Matthew DeMello to explore why trust in data remains the defining challenge for AI in financial services, and how institutions can modernize their architectures to enable safe, compliant, and scalable AI adoption. Chris also breaks down the practical workflows that reduce regulatory and cyber risk — mapping data flows, classifying unstructured data, preventing shadow AI — and shows how stronger governance ultimately accelerates ROI by enabling faster, more reliable AI deployment across the enterprise. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Securiti.

Shefali Kakar, Global Head of PK Sciences and Oncology at Novartis, returns to the AI in Business podcast to discuss how AI is reshaping the earliest and most critical phases of drug development—where strategic investment decisions are made long before a clinical trial begins. Together with Emerj Editorial Director Matthew DeMello, Shefali explores how advanced modeling, in silico design, and patient data are creating a clearer picture of risk and return across R&D portfolios. She explains how pharmaceutical organizations are leveraging multi-factorial models to simulate safety, efficacy, and market potential—down to the molecular level. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Umesh Rustogi, General Manager of Dragon for Nursing, Microsoft Health & Life Sciences. Umesh joins Emerj Editorial Director Matthew DeMello to explore how nursing workflows are straining under documentation burden, and how ambient AI is being built — not repurposed — to fit the realities of frontline care. The conversation also examines practical workflow changes already emerging in the field, as well as early ROI signals to watch for. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Cody Barrow, CEO at EclecticIQ. EclecticIQ is a global cybersecurity leader specializing in threat intelligence technology. Cody joins Emerj Editorial Director Matthew DeMello to discuss how AI-driven analytics and automation are revolutionizing threat detection and response in enterprise cybersecurity. Barrow also highlights practical improvements in workflow automation, early threat identification, and measurable ROI through reduced breach risks and operational efficiency. This episode is sponsored by EclecticIQ. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Dirk Michiels, CEO of Savaco. Savaco is a Belgium-based managed service provider specializing in hybrid cloud solutions, cybersecurity, and enterprise software deployment. Michiels joins Emerj Editorial Director Matthew DeMello to discuss the transformative role of hybrid cloud architectures in enterprise data and AI strategies. He also highlights how seamless integration, enhanced security protocols, and optimized deployment workflows lead to faster innovation and measurable ROI for modern organizations. This episode is sponsored by Xurrent. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Meghna Punhani, Chief People Officer at Eightfold AI. Eightfold AI provides an AI-powered platform for talent management, helping organizations optimize hiring, internal mobility, and workforce development. Meghna joins Emerj Editorial Director Matthew DeMello to discuss how HR leaders can adopt AI responsibly to enhance workforce capabilities and drive strategic impact. She also shares practical insights on reengineering HR workflows, leveraging AI for candidate screening and internal mobility, and building human-centered ethical guardrails for AI implementation. This episode is sponsored by Eightfold AI. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Mathew Paruthickal, Global Head of Data Architecture, Utilization, and AI Engineering at Sanofi. Founded in 1973, Sanofi is a French multinational pharmaceutical and healthcare company. Sanofi works in the research, development, and manufacturing of pharmaceuticals and vaccines. Mathew joins Emerj Editorial Director Matthew DeMello to explore how life sciences organisations can move from isolated digital tools to orchestrated, interoperable systems and how engineering teams can bake in traceability, auditability, and human-in-the-loop governance from day one. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Lauren Tulloch, Vice President and Managing Director at CCC (Copyright Clearance Center). CCC provides collective copyright licensing services for corporate and academic users of copyrighted materials, and, as one can imagine, the advent of AI has exposed a large number of businesses to copyright risks they've never considered before. Today, Lauren joins us to discuss where copyright exposure arises in financial services, from the growth of AI development to more commonplace employee use. With well over a decade at the company, Lauren dives into the urgent need for proactive copyright strategies in financial services, ensuring firms avoid litigation, regulatory scrutiny, and reputational damage, all while maximizing the value of AI. This episode is sponsored by CCC. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Suvaleena Paul, Assistant Vice President and Senior Analyst in Fraud, Innovation, and Analysis at Bank of America. Suvaleena joins Emerj Editorial Director Matthew DeMello to discuss the integration of AI-driven technologies into fraud prevention workflows. She also shares practical insights on improving threat identification speed, fostering cross-team collaboration, and continuously refining AI models to maximize ROI and maintain regulatory compliance. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Dr. Mark Kiel, Chief Science Officer and Founder at Genomenon. Genomenon is a genomics intelligence company that unlocks real-world evidence from biomedical literature to help pharmaceutical and clinical diagnostics companies inform precision medicine, accelerate patient diagnosis, and guide trial design and label expansion. Mark joins Emerj Editorial Director Matthew DeMello to explore how AI can streamline the extraction, organization, and interpretation of genomic and clinical data, enabling faster, more accurate decision-making in pharmaceutical R&D. He also shares practical approaches to integrating AI with human curation, improving workflow efficiency, and scaling insights for rare disease diagnosis, trial design, and drug development strategy. This episode is sponsored by Genomenon. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

The gap between a promising AI pilot and enterprise-wide, scalable impact remains a critical divide where momentum and resources often stall. Today's guest is Deborah Golden, U.S. Chief Innovation Officer at Deloitte who returns to the show to join Emerj CEO Daniel Faggella to tackle the costly reality of stalled AI initiatives. This conversation moves beyond traditional theory, offering a new strategic lens for driving the systemic and cultural change required to scale AI responsibly.  Deborah shares how leaders can overcome deep-seated organizational inertia that typically hinders initiatives, architecting novel approaches for innovation – like AI sandboxes, portfolio-based funding, and "blameless postmortems" – forging the critical, and often missing, connective tissue between experimentation and measurable business impact. The conversation delivers concrete strategies for connecting innovation to core operations and unlocking the promise of AI across your enterprise. This episode is sponsored by Deloitte. Discover how your company can connect with Emerj's audience through our curated media offerings: emerj.com/ad1. Share your perspective with an audience of enterprise AI decision-makers — apply to join the AI in Business podcast: emerj.com/expert2.

Today's guest is Robert Kubin, Head of Sales for Central Europe at Amundi. Amundi is a European asset manager, ranked among the top 10 globally by assets under management. It provides savings and investment solutions across active and passive management, in both traditional and real assets. Its offering includes IT tools and services (Amundi Technology) that cover the savings value chain. Amundi is listed on the stock exchange and manages more than €2.3 trillion in assets. A senior executive with more than 20 years of international experience across asset management, insurance, and consulting, Robert brings deep expertise in investment strategy and operational leadership. He joins Emerj Editorial Director Matthew DeMello to discuss how AI can move beyond legacy technology to improve decision-making and automate manual processes in asset and wealth management. Robert also shares practical strategies for embedding AI into core workflows, reducing manual workload, and enabling smaller teams to operate at scale while driving measurable ROI. This episode is sponsored by FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Join an exclusive circle of AI executives shaping the conversation. Share your insights as a guest on the 'AI in Business' podcast and be recognized among peers driving innovation: emerj.com/expert2.

Today's guest is Aaron Levie, CEO of Box. Box provides secure cloud content management and collaboration solutions for enterprises managing unstructured data at scale. Aaron joins Emerj CEO and Head of Research Daniel Faggella to discuss how AI is reshaping enterprise data architecture, from organizing unstructured content to enabling AI-ready workflows across business functions. Levie also shares how modular data systems, federated indexing, and embedded intelligence can help organizations improve compliance, accelerate productivity, and turn data management into a competitive advantage. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Michael Finley, Chief Technology Officer at AnswerRocket. Founded in 2013, AnswerRocket builds enterprise AI agents delivering measurable outcomes for Fortune 2000 clients across consumer goods, financial services, construction, real estate, and beyond. Finley joins Emerj Editorial Director Matthew DeMello to discuss how enterprises can move beyond AI experimentation toward scalable, agent-driven systems that deliver measurable business value. Finley also explores what makes AI agents truly enterprise-ready — from data governance and tool integration to deployment and iteration. This episode is sponsored by AnswerRocket. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Nick Masca, Head of Data Science for Growth & Personalisation at Marks and Spencer. Marks and Spencer plc is a prominent British multinational retailer headquartered in London, England, known for offering a wide range of clothing, beauty items, home goods, and food products. Nick joins us on the program to surmise his views on the data-driven challenges currently facing the retail and eCommerce sectors. With a focus on change management rather than traditional digital transformation, Nick outlines the key obstacles retail leaders encounter when leveraging data tools to optimize processes like price setting, supply chain efficiency, and customer experience. He shares insights on the friction that arises when introducing automation, particularly in areas like content development, and how data teams can work closely with stakeholders to ensure seamless implementation. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Kriti Sharma, CEO of IFS Nexus Black. Nexus Black specializes in solving complex operational challenges in asset-intensive environments by bringing AI engineers and domain experts directly to the factory floor, shop floor, and field. Kriti joins Emerj Editorial Director Matthew DeMello to explain how industrial leaders can move from AI theory to practical execution by uncovering hidden data inside aging assets, integrating multiple data modalities, and delivering measurable outcomes in weeks rather than years. Kriti also details how organizations can reduce unplanned downtime, improve maintenance planning, and scale technician expertise through targeted AI tools—demonstrating how even modest improvements in high-value workflows can drive meaningful operational ROI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Andrew Deutsch, CEO of the Fangled Group and Director of Operations at RR Donnelley. Fangled Group is a global marketing and sales consultancy specializing in data-driven strategies that accelerate market entry for small to medium-sized manufacturers. Andrew joins Emerj Editorial Director Matthew DeMello to discuss leveraging data and AI to enhance operational efficiency and drive growth in complex industries. Andrew also shares practical insights on integrating technology with workforce solutions to improve workflows and generate measurable ROI. This episode is sponsored by OneTrust. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Roanie Levy, Licensing and Legal Advisor, CCC. CCC provides collective copyright licensing services for corporate users of copyrighted materials. Roanie joins Emerj Editorial Director Matthew DeMello to break down how generative AI is changing copyright risk management for enterprises — from the impacts of Shadow AI to the realities of input/output risk and fair use misconceptions in AI-based workflows. Roanie also explores practical strategies to shift organizations from ad hoc, high-risk AI use to structured processes, collective licensing, and cross-team education. Their conversation highlights actionable steps for reducing compliance burdens, improving workflow efficiency, and future-proofing IP in today's rapidly evolving data and AI landscape. This episode is sponsored by CCC. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Trish Vassar, Vice President of Global Learning & Development, who brings over 20 years of experience in talent management, learning, and leadership development. She joins Emerj Editorial Director Matthew DeMello to explore how enterprise leaders can shift from traditional role-based planning to skills-based workforce strategies powered by AI. The conversation also covers practical approaches to AI-assisted workflows, establishing a shared skills language, and improving staffing and training outcomes across the organization. This episode is sponsored by Workera. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock. With extensive experience in financial technology and infrastructure, Julian specializes in integrating AI and data strategies to transform enterprise workflows. Julian joins Emerj Editorial Director Matthew DeMello to explore how leading organizations are scaling AI effectively by building resilient data environments, establishing transparent governance frameworks, and fostering a culture of trust and responsible innovation. Julian also shares practical strategies for reducing operational friction, implementing modular AI workflows, and maximizing ROI across enterprise AI initiatives. Join us for an insightful discussion on the future of data-driven AI in business. Share your AI adoption story and be considered as a future guest on the 'AI in Business' podcast. Apply now at emerj.com/expert2. This episode is sponsored by Pure Storage. See how your brand can share insights and reach decision-makers through Emerj.

Today's guest is Raul Monroig, People Organization Vice President for the Intercon Region at Bristol Myers Squibb. Bristol Myers Squibb manufactures prescription medicines across oncology, hematology, immunology, cardiovascular disease, and neuroscience. With a truly global footprint, the company's research, manufacturing, and commercial presence spans more than 60 countries, and with such scale, of course, comes the complexity of managing a vast workforce. Raul joins Emerj Editorial Director Matthew DeMello to discuss how global HR teams can embrace AI to tackle critical challenges in workforce development. With AI adoption accelerating at breakneck speed, it may be that focusing on a small set of essential skills like curiosity, agility, and customer service orientation —  rather than training employees on everything all at once — may be the paradigm shift that helps drive organisational success. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Taylor Sullivan, Head of Product and Assessments at Workera. Workera provides AI-driven skills verification and assessment solutions for organizations. Taylor joins Emerj Editorial Director Matthew DeMello to discuss how organizations can move from skill inferencing to verified, measurable skills, enabling more confident talent decisions. Taylor also explains how AI-powered assessments can personalize learning, reduce time to proficiency, and provide leaders with actionable data to align workforce capabilities with evolving business needs. This episode is sponsored by Workera. Learn how brands are driving impact in enterprise AI through Emerj's media offerings. Find out more at emerj.com/ad. Emerj features the voices driving enterprise AI adoption. If your insights move strategy forward, share them with executive peers on the AI in Business podcast. Apply at emerj.com/expert2.

Today's guest is Sachit Kamat, Chief Product Officer at Eightfold AI. Eightfold AI provides a complete AI platform for talent management to help companies find, recruit, and retain workers with the goal of increasing the efficiency and effectiveness of talent operations. Sachit joins Emerj Editorial Director Matthew DeMello to discuss how agentic AI enables HR teams to move from human-scale to machine-scale processes, rethinking how organizations identify, assess, and mobilize talent. The conversation also covers how agentic systems can enhance compliance, accelerate change management, and create measurable ROI by automating interview workflows and optimizing internal mobility. This episode is sponsored by Eightfold AI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Greg Ratcliff, Chief Innovation Officer at Vertiv. With 30 years of experience leading technology teams and global innovation initiatives, Gregory offers deep expertise in data, IoT, and digital infrastructure. Ratcliff joins Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders can scale AI effectively by building the right infrastructure and addressing key bottlenecks. Gregory also shares practical strategies for modular, hybrid data environments, bridging talent gaps, and improving operational efficiency across AI workflows. Join an exclusive circle of AI leaders shaping the conversation in business. Share your AI adoption story and be considered as a future guest on the 'AI in Business' podcast. Apply now at emerj.com/expert2.This episode is sponsored by Pure Storage. See how your brand can partner with Emerj to share insights and reach decision-makers. Get started at emerj.com/ad1.

Today's guest is Jim Johnson, President at AnswerRocket. Founded in 2013, AnswerRocket builds enterprise AI agents delivering measurable outcomes for Fortune 2000 clients across consumer goods, financial services, construction, real estate, and beyond. Johnson joins Emerj Editorial Director Matthew DeMello to discuss how consumer packaged goods companies can overcome data complexity and accelerate decision-making with emerging agentic AI capabilities. The conversation also examines how CPG teams can shorten analysis cycles, reduce dependence on manual reporting, and uncover new revenue opportunities by pairing existing human expertise with continuously learning AI agents. This episode is sponsored by AnswerRocket. Interested in putting your AI product in front of household names in the Fortune 500? Connect directly with enterprise leaders at market-leading companies. Emerj can position your brand where enterprise decision-makers turn for insight, research, and guidance. Visit emerj.com/sponsor.

Today's guests are Matt Berseth, Co-founder and CIO at NLP Logix, and Russell Dixon, Strategic Advisor at NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Berseth and Dixon join Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders can successfully deploy AI collaboration tools like ChatGPT Enterprise and Microsoft Copilot, set the right foundations for adoption, and measure ROI. They also share practical takeaways on identifying high-value use cases, tracking meaningful usage and productivity metrics, creating feedback loops to share best practices, and embedding AI tools into workflows to deliver sustained business impact. This episode is sponsored by NLP Logix. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Emily Nguyen, Head of Industrials and Warp Speed at Palantir Technologies. Emily joins Emerj Editorial Director Matthew DeMello on the show to discuss the realities of AI adoption on the factory floor. Despite rapid advances in AI, many manufacturers still rely on legacy systems, siloed data, and even pen-and-paper processes. Emily shares insights from her 12 years at Palantir on how to bridge these gaps, connect critical functions, and build organizational readiness for AI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Dag Liodden, Chief Product Officer and Co-founder at Crisp. Crisp combines the power of agentic AI with deep retail expertise. Over 7,000 brands leverage Crisp to manage and enrich their retail data to surface valuable insights and drive sales and supply chain performance. Dag joins Emerj Editorial Director Matthew DeMello to discuss why vertical expertise in CPG is essential for unlocking AI's potential, and how creating an AI-ready foundation through data harmonization transforms workflows – from category and promotion management to supply chain optimization. He also explains how this foundation allows teams to focus on strategic work, while AI-powered agents improve real-time performance, reduce human error, and drive measurable ROI across product portfolios. This episode is sponsored by Crisp. Discover how leading brands partner with Emerj to grow their profile and drive impact. Explore partnership opportunities at emerj.com/ad1. Share your insights, grow your profile, and join an elite circle of AI leaders. Apply to be a future' AI in Business' podcast guest at emerj.com/expert2. 

As agentic AI becomes a defining force in enterprise innovation, infrastructure has moved from a back-office concern to the beating heart of business transformation. On today's episode of the 'AI in Business' podcast, Ranjan Sinha, IBM Fellow, Vice President, and Chief Technology Officer for watsonx and IBM Research, joins Emerj Editorial Director Matthew DeMello to discuss the future of scalable AI infrastructure — from neuromorphic and quantum processing to open-source AI platforms built for trust and governance. Ranjan explains how enterprises are transitioning from isolated experiments to mission-critical AI applications, revealing why today's Fortune 500 leaders must reimagine compute, governance, and data pipelines to sustain automation and reliability at scale. He details IBM's breakthroughs in specialized processors, including the NorthPole neuromorphic chip and the company's roadmap for fault-tolerant quantum computing by 2029. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Matthew and Ranjan's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Today's guest is Scott Bradley, VP of AI and Innovation at Novartis. As the eighth largest pharmaceutical company in the world by revenue, Novartis' medicines reach millions of people worldwide. Their focus on the discovery and development of novel, breakthrough treatments sees them reimagining not just the delivery of said treatments, but the practice of medicine at large. Scott joins Emerj Editorial Director Matthew DeMello to examine how artificial intelligence is transforming trial design, operations, and patient engagement — while also reshaping industry trust and accountability. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Xiong Liu, Director of Data Science and AI at Novartis. Novartis is among the world's leading pharmaceutical companies, pioneering data and advanced analytics in the pursuit of new medicines and patient outcomes. Xiong joins Emerj Editorial Director Matthew DeMello to examine how generative AI and foundation models are transforming R&D, clinical workflows, and research collaboration across the life sciences. The discussion highlights how domain-specific data strategies, improved data quality, and shared benchmarks are accelerating discovery and operationalizing AI for measurable ROI in biopharma. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Mathias Cousin, Managing Director at Deloitte. With extensive experience in R&D transformation and regulated industry data strategy, Mathias joins Emerj Editorial Director Matthew DeMello to unpack what it really takes for enterprise leaders to deliver ROI from AI and data initiatives. Mathias also shares actionable guidance on building effective "string of pearls" use cases, investing in data quality and AI-native talent, and adopting practical change management to embed AI in workflows for measurable gains in efficiency and long-term competitive edge. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Sandro Venturini, Executive Director and Consultant at UBS. Specializing in cross-border fund structuring and regulatory strategy, he holds years of experience guiding financial institutions through complex launches across jurisdictions for the world's largest private bank. Sandro joins Emerj Editorial Director Matthew DeMello on the show today to explore the role of AI in reducing legal and business costs, ensuring alignment across stakeholders, and creating a single source of truth for fund launches. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Christo Siebrits, Senior Associate and General Counsel at AbbVie. With over 20 years of experience in global pharmaceutical legal and compliance leadership, Siebrits leads AbbVie's AI initiatives and provides strategic guidance on AI-related legal and regulatory matters. Christo joins Emerj Editorial Director Matthew DeMello to discuss how enterprise legal teams can adopt generative AI safely, balance internal versus external data use, and implement human-in-the-loop workflows to manage risk. Siebrits also shares practical strategies for matter-centric processes, measuring AI-driven efficiencies, and making informed decisions on AI investments across internal and external legal operations. We'd like to note for our audience that the views expressed by Christo on today's program do not reflect those of AbbVie or its leadership. Have a story about AI adoption you're ready to share with fellow enterprise leaders? Visit emerj.com/expert2 to explore the opportunity to be a featured guest on the 'AI in Business podcast'. This episode is sponsored by Clarivate. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

On this episode of the AI in Business podcast, Emerj Editorial Director Matthew DeMello speaks with Ben Ninio, Principal in Strategy at Deloitte, about how enterprises are rethinking the fundamentals of scientific discovery in the AI era. Ben explains why language itself has become the "hack" for unifying frameworks across R&D domains—from pharmaceuticals to agriculture to industrial chemistry—allowing organizations to move beyond the limits of brute-force computation. He illustrates how large language models and knowledge graphs can help identify new molecular, biological, and cross-domain insights that were previously impossible to surface. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

When finance leaders push for measurable savings and supply chain leaders prioritize continuity and resilience, technology adoption often gets caught in the middle. Procurement teams, operating with risk-averse cultures and outdated tools, face growing complexity while pressure mounts from both sides of the business. In this episode of the AI in Business podcast, Rob DeSantis — CEO and Co-founder of Arkestro, Co-founder of Ariba, and early LinkedIn executive — explains to Emerj CEO and Head of Research Daniel Faggella why AI represents more than incremental change for procurement. Instead of simply digitizing old workflows, AI enables re-imagined processes that deliver step-function value, often translating into 20 to 30 percent savings directly impacting earnings per share. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! This episode is sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Steve Taczala, VP of Service Operations at Impact Networking. Impact Networking is a managed service provider founded in 1999, with more than 20 US offices, supporting organizations in IT, cybersecurity, and applying AI to business operations. Taczala brings extensive experience in managing MSP service operations and improving IT workflows. Steve joins Emerj Editorial Director Matthew DeMello to discuss how enterprise teams can reduce ticket noise, prioritize actionable incidents, and prepare service desks for AI-driven operations. Steve also shares practical strategies for staging platform migrations, implementing intelligent ticket routing, and using AI to enhance team efficiency and the overall customer experience. This episode is sponsored by Xurrent. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Sunitha Rao, SVP and General Manager for Hybrid Cloud Business at Hitachi Vantara. Hitachi Vantara is a wholly owned subsidiary of Hitachi, Ltd. that provides data infrastructure foundations that help leading innovators manage and leverage their data at scale. Through data storage, infrastructure systems, cloud management, and digital expertise, the company helps customers build the foundation for sustainable business growth. Sunitha joins Emerj Editorial Director Matthew DeMello on the show to break down how enterprises across industries can modernize their data infrastructure, scale AI deployments, and align IT investments with their sustainability goals. This episode is sponsored by Hitachi Vantara. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is Padma Hari, Chief Digital Officer at Nestlé Purina. With over 20 years of experience shaping digital strategy and driving enterprise-wide transformations, Padma has leveraged AI, analytics, and data-driven insights to deliver measurable business impact at scale. Padma joins Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders can move from siloed decision-making to end-to-end synchronized planning using data and AI. Padma also shares practical takeaways, including how to harmonize goals across business functions, run mock sessions to test new planning processes, and utilize AI to enable faster and more effective decision-making, which boosts operational efficiency and ROI. This episode is sponsored by Crisp. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Are you shaping AI adoption at your organization? Share your experience with fellow executives on the 'AI in Business' podcast. Apply to be a future guest at emerj.com/expert2. Watch Emerj Editorial Director Matthew DeMello and Kuo Zhang, President of Alibaba.com's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Today's guest is Kevin Ahlstrom, Associate General Counsel in Patents at Meta. Kevin brings extensive expertise in navigating intellectual property challenges in the rapidly evolving technology sector. He joins Emerj Editorial Director Matthew DeMello to discuss the evolving role of patent strategy in the age of AI innovation. Kevin also shares practical insights on streamlining legal workflows and aligning intellectual property management with AI development to drive greater innovation, efficiency, and ROI. Today's episode is sponsored by Filevine. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Naveen Kumar, Director of Financial Crimes at Walmart. Naveen joins Emerj Editorial Director Matthew DeMello to discuss how AI-powered video and sensor analytics are transforming risk detection and operational oversight in retail environments. Naveen shares insights on how integrating diverse data sources enables real-time fraud detection, compliance monitoring, and enhanced employee safety. The conversation also covers practical workflow innovations, including cross-functional collaboration and embedding AI into daily processes to generate measurable improvements in efficiency and customer experience. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Shandon Quinn, Vice President of Patent Intelligence, Search and Analytics at Clarivate. Quinn joins Emerj Editorial Director Matthew DeMello to examine how AI-powered workflows are helping IP leaders deliver strategic impact, smarter decision-making, and tangible results for data-centric enterprises. Shandon also shares proven changes to patent review and portfolio management, including the shift to predictive analytics and benchmarking, enabling teams to save costs and create new business value through data and automation. This episode is sponsored by Clarivate. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Today's guest is Faithe Toomy, Director of Voice of the Customer and Insights at Insulet. Insulet is a medical device company specializing in wearable drug delivery systems for diabetes care, combining engineering, clinical research, and digital health capabilities to develop automated therapeutic solutions. Faithe joins Emerj Editorial Director Matthew DeMello to discuss how data and AI are transforming call center operations while maintaining compliance and customer trust. Faithe also shares practical strategies for training agents, leveraging conversational analytics, and implementing AI tools that enhance workflow efficiency, improve first-contact resolution, and support a more confident, human-centered customer experience. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

In this special weekend edition of the 'AI in Business' podcast's AI Futures series, Emerj CEO and Head of Research Daniel Faggella speaks with Stuart Russell, Distinguished Professor of Computational Precision Health and Computer Science at the University of California and President of the International Association for Safe & Ethical AI. Widely considered one of the earliest voices warning about the uncontrollability of advanced AI systems, Russell discusses the urgent challenges posed by AGI development, the incentives driving companies into a dangerous race dynamic, and what forms of international governance may be necessary to prevent catastrophic risks. Their conversation ranges from technical safety approaches to potential international treaty models, the role of culture and media in shaping public awareness, and the possible benefits of getting AI governance right. This episode was originally published on Daniel's 'The Trajectory' podcast, which focuses exclusively on long-term AI futures. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is Aaron Demory, Senior Partner at Fearlus and Chief of Information Technology and Security at the FDIC. Aaron joins Emerj Editorial Director Matt DeMello on today's show to explore how organizations can safeguard institutional memory, align data strategy with cultural goals, and rethink success in the age of AI. With experience spanning both the public and private sectors, Aaron examines the rise and fall of tribal knowledge, why its loss is accelerating across industries, and how this creates operational and compliance risks. He connects these challenges to organizational change management and the broader shift away from traditional systems integration practices. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Global sourcing has long been a barrier for small and medium-sized businesses (SMBs). Language differences, compliance challenges, logistics hurdles, and trust issues can overwhelm even the most determined entrepreneurs. In this episode of the AI in Business podcast, Kuo Zhang, President of Alibaba.com, shares how new technologies—including Alibaba's agentic AI system Accio—are streamlining procurement and unlocking opportunities once reserved for enterprises. Drawing on examples from thousands of SMBs worldwide, Zhang details how AI is transforming sourcing from a months-long, manual process into an automated workflow that delivers results in hours. He also discusses how Alibaba.com is embedding AI into every layer of its platform, from search to supplier engagement, and how organizations of any size can begin adopting these systems with minimal lift. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! Join enterprise leaders at Emerj's Vision to Value AI Infra Summit to explore strategies for building, securing, and scaling AI infrastructure. Reserve your free spot today: emerj.com/infrasummit2.

Clinical trials are growing more complex, and nowhere is that more evident than in oncology and obesity research. As sponsors push for reliable, real-time patient data, the role of electronic clinical outcome assessments (eCOAs) has never been more critical. These tools determine not only how patients report on their quality of life but also how sponsors capture the endpoints that drive regulatory approval. In this episode of the AI in Business podcast, Emerj Editorial Director Matthew DeMello speaks with Anthony Mikulaschek, Vice President of Commercial Strategy at IQVIA Technologies. Anthony unpacks the evolution of eCOAs, from their early days on Palm Pilots to today's AI-enabled platforms. He explains how thoughtful design reduces patient and clinician burden, why cultural and linguistic nuance matters for global trials, and what digital libraries and compliance automation mean for faster, more resilient studies. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In this episode, Pavlé Sabic, Senior Director in Generative AI Solutions and Strategy at Moody's, joins Emerj Editorial Director Matthew DeMello to discuss how agentic AI is redefining workflows in financial institutions. Pavlé explains why large enterprises are turning to AI-driven automation to overcome persistent challenges — from fragmented data and manual inefficiencies to evolving regulatory demands. He shares practical examples, including credit memo automation that reduces production time by 60%, portfolio monitoring tools that detect emerging risks earlier, and sales intelligence workflows that deliver highly targeted client insights. Pavlé also outlines why proprietary data is a strategic advantage in regulated industries and how leaders can implement agentic AI without losing human oversight. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Moody's. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

In this episode of the AI in Business podcast, host and Emerj Editorial Director Matthew DeMello speaks with Yunke Xiang, Global Head of Data Science for Manufacturing, Supply Chain, and Quality at Sanofi. Together, they examine how generative AI and reasoning models are evolving from simple automation to high-impact copilots across pharmaceutical operations. Yunke shares examples of how AI is enabling "talk to your data" use cases, automating regulatory reporting, and accelerating knowledge transfer for new employees. He also highlights how agentic AI systems may soon extend beyond copilots to function as digital teammates, orchestrating tasks across complex supply chains and ERP migrations. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

The 'AI in Business' podcast connects enterprise leaders with the best insights on how AI is driving measurable impact across regulated industries. In this episode, we highlight Prudential Financial's perspective on scaling AI in customer experience, an area facing both significant opportunity and unique regulatory challenges. By featuring Abhii Parakh, VP and Head of Customer Experience at Prudential Financial, this episode links directly into ongoing conversations with financial services leaders about digital transformation, customer trust, and the rise of agentic AI. Listeners will gain actionable context for how insurance companies can responsibly adopt AI, improve employee and customer outcomes, and prepare for a rapidly changing future of customer interaction. This episode is sponsored by Cognigy. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

As AI adoption accelerates in financial services, governance leaders face the challenge of keeping oversight processes aligned with innovation. OneTrust provides data governance and risk management tools, serving over 14,000 customers worldwide across privacy, security, third-party, and AI domains. Traditional data governance models, often designed for structured databases, are not built to manage today's dynamic, unstructured AI workflows. Without clear frameworks, organizations risk compliance gaps, inconsistent oversight, and even internal conflict over ownership of AI decision-making. In this episode, Shane Wiggins, Director of Product at OneTrust, explores how enterprises can build governance models that not only mitigate risk but also support innovation. He explains why visibility into unstructured data is essential, how to align compliance and product teams through self-service governance, and the importance of making governance "invisible to developers but visible to auditors." Wiggins also details best practices for staying ahead of regulatory change, from embedding flexible policies to creating system cards that clarify model purpose and limitations for clients. The discussion highlights how governance, when done right, can accelerate time to market, reduce compliance costs, and even create a competitive advantage. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! This episode is sponsored by OneTrust. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Banks face some of the highest stakes when it comes to IT reliability. Even small disruptions can ripple into regulatory exposure, reputational harm, and major financial losses. Yet many financial institutions still rely on reactive monitoring systems that chase alerts without addressing the root causes of outages. On today's episode of the 'AI in Business' podcast, Dale Skeen, CTO and Co-founder of Vitria Technology, explains how AI and agentic systems are reshaping IT operations in financial services. Vitria Technology is a global leader in AI-driven operations platforms, helping enterprises move from data analysis to automated action with its flagship VIA AIOps solution. Built for scale, VIA AIOps delivers total ecosystem observability and intelligent automation, reducing downtime, improving customer experience, and accelerating ROI. Dale's appearance goes into great detail on how knowledge graphs improve explainability and trust, how automation is already reducing time to resolution for common failures, and how AI copilots are helping teams tackle the most complex system outages. Dale also shares a roadmap for financial leaders looking to reduce downtime, cut manual toil, and scale toward self-healing IT systems—one sprint at a time. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Vitria Technology. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

As enterprises scale their AI initiatives, leaders face mounting challenges in balancing compute demands, sustainability goals, and hybrid cloud strategies. Many organizations rush to secure GPUs and cloud resources without accounting for hidden costs, data bottlenecks, and sustainability trade-offs. In this episode of the AI in Business podcast, Emerj Editorial Director Matthew DeMello speaks with Jason Hardy, Chief Technology Officer of AI at Hitachi Vantara, about the realities of scaling AI infrastructure at the enterprise level. Want to share your AI adoption story with executive peers? Hitachi Vantara is a wholly owned subsidiary of Hitachi, Ltd. that provides data infrastructure foundations that help leading innovators manage and leverage their data at scale. Through data storage, infrastructure systems, cloud management and digital expertise, the company helps customers build the foundation for sustainable business growth. To learn more, visit www.hitachivantara.com. Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! This episode is sponsored by Hitachi Vantara. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

As universities and enterprises both turn to large-scale digital learning, the challenges of scaling education look remarkably similar across sectors. From managing data pipelines to ensuring learners feel a sense of connection, success depends on more than just technology. In this Pure Storage-sponsored episode of the 'AI in Business' podcast from Emerj, Norma Scagnoli, Chief Learning and Innovation Officer at the Illinois Institute of Technology, discusses how higher education institutions are navigating cultural resistance, accreditation hurdles, and governance demands while scaling MOOCs and degree programs. She also shares lessons enterprises can apply as they build partnerships with universities and adopt AI-driven personalization for workforce training. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! This episode is sponsored by Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

The consumer goods and retail industries face an overwhelming challenge: too much fragmented data and too little clarity. From mismatched retailer reports to legacy systems that can't keep up with today's SKU volumes, many organizations find themselves bogged down in "data indigestion" instead of actionable insights. Today's guest is Henrique Wakil Moyses, Vice President of Data Science at Crisp. Crisp is a data platform designed for the consumer goods ecosystem, helping brands, retailers, and distributors harmonize fragmented data from multiple sources. By providing real-time visibility into sales, inventory, and supply chain signals, Crisp enables faster, data-driven decisions that reduce waste and improve business outcomes. Henrique joins Emerj Editorial Director Matthew DeMello to break down how CPG and retail leaders can cut through this complexity. He explains why building a data-driven culture is the first barrier to overcome, how to align AI adoption with ROI, and where brands are already seeing the biggest payoffs—such as supply chain optimization, inventory forecasting, and personalized retail experiences. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Crisp. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

As AI capabilities evolve, financial institutions face pressure to balance innovation with security, trust, and regulatory compliance. From fraud prevention to customer experience, deterministic AI applications continue to form the backbone of financial services—even as new technologies like generative and agentic AI emerge. In this episode, JoAnn Stonier, Data and AI Fellow at Mastercard, joins us to share how Mastercard is navigating these dynamics. She explains how AI-driven analytics reduce false positives in fraud detection, why "agent-ish" AI marks an important transition toward more autonomous systems, and how responsible governance ensures privacy and security remain at the forefront. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

What if the real AI revolution isn’t in the models — but in the reimagined systems beneath them? In this episode, Deborah Golden, U.S. Chief Innovation Officer at Deloitte, joins Emerj CEO and Head of Research Daniel Faggella to rethink what powers (or derails) AI at scale. The conversation challenges conventional wisdom – proposing that the future of AI may hinge less on algorithms and more on the invisible infrastructure that surrounds them. Golden surfaces the hidden risks of silo systems, unchecked shadow AI, and the all-too-common “speed trap” mindset – making a bold case that infrastructure isn’t just operational – it’s strategic. From governance to cross-functional orchestration, this conversation explores what it takes to embed AI with resilience, trust, and sustained ambition. This isn’t about chasing the next model. It’s about elevating the questions we’re asking – and reimagining the systems that will define whether AI fulfills its promise or fractures under pressure. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!

In today's high-volume service environments, the smallest misstep can erode both efficiency and customer trust. In this episode, Eric Rivas, Director for Service Repair at Electrolux, joins Emerj Editorial Director Matthew DeMello to share how frontline data and technician expertise can be better captured, organized, and applied to deliver consistent, first-visit success. Rivas advises service leaders on best practices for approaching the challenges of tribal knowledge transfer, skill development, and diagnostic accuracy in large service organizations. He also breaks down the build-versus-buy dilemma facing many service leaders when it comes to new technology—and why effective partnerships often prove more valuable than internal development. Listeners will gain insights into balancing efficiency with reliability, empowering frontline teams, and building long-term trust with customers at scale. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

In this episode of the AI in Business podcast, Pallab Deb, Managing Director in SI & Industry GTM Partnerships at Google, joins Emerj CEO Daniel Faggella to discuss how AI infrastructure has evolved into a platform-centric foundation for enterprise transformation. Pallab explains why the modern AI stack extends beyond compute and storage to include network performance, data governance, multi-model integration, and agentic interfaces that enable real-time, multilingual, and multimodal engagement. He outlines the shift from proof-of-concept pilots to proof-of-value initiatives, where production readiness and security are expected from the outset. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Daniel and Pallab's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch 

Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA, joins the AI in Business podcast to discuss why a clear data strategy must come before investing in storage infrastructure for AI adoption. Joe outlines the risks of assuming that cloud providers or storage solutions alone will produce reliable intelligence, and why organizations should approach AI initiatives as iterative R&D projects rather than instant ROI efforts. He shares practical guidance on right-sizing storage to business goals, addressing the skilled trade gap through scalable systems, and the advantages of a cloud-first approach with sequestered, trusted data. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.