The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption. Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
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
