The AI in Business Podcast

The AI in Business Podcast

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

Episodes

July 29, 2026 29 mins
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 ...
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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...
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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...
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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‑dri...
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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 incrementa...
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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...
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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...
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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, ...
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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 poli...
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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 deplo...
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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 i...
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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 D...
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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,...
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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 ...
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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....
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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, Eme...
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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 judgm...
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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 m...
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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 comp...
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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...
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