The AI in Business Podcast

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 appro...

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, an...

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 adoptio...

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 highli...

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 futu...

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 operation...

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 vulnerabili...

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 d...

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 runnin...

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 conv...

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 a...

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 We...

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 We...

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 au...

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 p...

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...

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 ho...

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 a...

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 safe...

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 unre...

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...

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...

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 becom...

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 conversat...

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 Fag...