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

October 29, 2026 • 22 mins
Retiring workers can take operational knowledge with them, while difficult-to-use enterprise systems leave other information underused. In this episode, Vaibhav Kumar, Global Chief Technology Officer at IFS, joins Emerj's Eysan Yazici to examine how conversational AI could help industrial teams capture knowledge and access business information more directly. He discusses reducing friction in enterprise software, letting ...
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GPU clusters sit idle and budgets balloon when storage can't keep pace with how fast AI workloads are scaling. In this episode, Cameron Bahar, GM of Scale AI at Everpure, explores how storage architecture must shift from rigid, single-purpose systems to flexible, cloud-like models built for constant change. The conversation covers the move from training to inference and agentic workloads, the case for separating metadata from ...
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The cost and skill required to mount a serious cyberattack have collapsed, and most enterprise security programs still test on a quarterly or annual clock. In this episode, Sridhar Boddula, Head of Security Platform Engineering at MassMutual, breaks down why that mismatch is now the central risk for regulated enterprises and what has to change inside a security team to close it. He covers shifting from periodic testing to cont...
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AI-generated answers can give buyers information without a website visit, complicating how marketing teams measure visibility and conversion. In this episode, Gillian Hinkle, Senior Director of Marketing – Demand Gen, ABM, & Growth at Salesforce, joins Emerj's Matthew DeMello to examine how teams can adapt their content and measurement practices. She discusses evaluating content for traditional search and AI-generate...
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Service organizations hold most of their critical expertise in experienced technicians rather than manuals, and that knowledge is leaving as the workforce turns over. In this episode, Thomas Cottereau, CEO and Founder at SightCall, explores why the real challenge is capturing expertise rather than producing more documentation, and how AI can structure what experts already know into trusted knowledge. He outlines how to capture...
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Enterprise investment in AI is rising faster than the ability to prove what it returns, leaving technology and vendor spend largely unexamined until leadership asks whether it is working. In this episode, Kellen Winters, Director of Customer Success and Business Operations for AI at Novartis, examines why demonstrating AI value starts with building a measurement discipline before any tools are chosen. The conversation covers a...
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A job title no longer tells you what a technical role actually requires, now that AI has changed how the work gets done.
In this episode, Carrol Chang, CEO of Andela, unpacks how AI is reshaping technical roles, and why hiring and assessment need to shift from job titles to skills.
The conversation covers how leaders can assess for judgment and problem-solving rather than just technical output, and how t...
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Shifting regulations and siloed risk and compliance functions are forcing enterprise leaders to rethink audit-driven compliance. In this episode, Craig Unger, CEO and Founder at Hyperproof, explains why compliance should be treated as a continuous state, with every control tied back to the organization's overall risk profile. He also covers standardizing a single set of controls across frameworks and regions, expressing risk i...
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A recommendation that's right 80% of the time sounds fine, until it's steering machinery next to a person. On the factory floor, that margin is the difference between routine and catastrophic. In this episode, Jeff Witt, Global Process Digital Authority at GE Vernova, examines why industrial AI demands a different standard of rigor than its enterprise counterpart, from edge computing architectures to context-rich recommendatio...
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Financial institutions are moving fast on generative AI without a clear answer for who owns, and who is liable for, the content it produces and consumes. In this episode, Stefan Zima, Head of Group Regulatory Compliance and AI Compliance at Raiffeisen Bank International AG, examines how banks can build real accountability and visibility into their AI content practices before regulators or auditors force the issue. The conversa...
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Alert volume inside IT operations has outpaced manual triage, leaving real incidents buried in noise. In this episode, Dhrubojyoti Das Deb, SVP of Global IT at JPMorgan Chase & Co., explores how AI-driven correlation and intelligent grouping can turn thousands of alerts into a handful of actionable incidents. The conversation covers where accountability sits when AI assists in triage, how teams build trust in automation in...
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Enterprise CX teams have poured budget into AI, yet many still can't show measurable returns — frontline staff double-check the tools, and each new bot becomes another disconnected silo.
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In this episode, John McMullan, Head of Product Marketing and Strategy at Observe.AI, joins host Yolandi de Weerdt to examine why AI adopted without operational discipline falls short, and how a shared interaction...
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A single misstep in a new customer service channel can undo months of trust-building work.
In this episode, Paul Cuglietta, Customer Services Director at Simplyhealth, explores how disciplined testing, governance, and stakeholder sign-off shape agentic AI rollouts inside a regulated, high-trust environment.
The conversation covers matching automation to the way customers speak across channels, building a...
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An AI agent can function as designed yet produce results an organization cannot verify or safely use. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine who owns agent behavior after deployment and why correcting individual outputs does not fix the underlying workflow. She explains how source evidence, shared definition...
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Drug discovery teams are running short of new ideas to test, and AI models that simulate how cells respond to drugs only pay off once leaders know when those predictions can be trusted with experiments, timelines, and budget.
In this episode, Daniel Veres, Co-Founder and Chief Scientific Officer at Turbine, and Giorgio Gaglia, Head of Systems and Disease Biology at Sanofi, examine with host Yolandi de Weerdt how te...
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In biopharma R&D, AI investment has overwhelmingly targeted generating more drug candidates, even though the industry has rarely lacked for compounds worth pursuing. In this episode, Mukhtar Ahmed, Director of Project and Portfolio Strategy at Greenstone Biosciences, explores why the harder and more valuable problem is deciding which candidates deserve continued capital and attention. The conversation covers synthesizing f...
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Finance teams face immense pressure to operate faster, but rushing to automate over fragmented systems only compounds errors downstream. Ciprian Porutiu, SVP of Strategic Initiatives at Marsh, joins host Yolandi de Weerdt to explain why establishing a common language and federated data domains matters far more than forcing everything into a single centralized database. He shares practical approaches for managing phased rollout...
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For large banks, the barrier to AI at scale is rarely the model. It's decades of fragmented systems, inherited through mergers, acquisitions, and new products, where each team trusts its own data and no single view of context exists. Agentic AI doesn't fix that fragmentation; it amplifies it across every user and every prompt.
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In this episode, Nathaniel Bell, Data Management Director at Wells Fargo, joi...
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Hospitals and clinics continue to face a central challenge: extensive cardiac testing still fails to deliver clear, consistent diagnostic answers, slowing decision‑making and creating downstream operational and financial strain.

In this episode, Jim Hartman, Chief Commercial Officer at Cleerly, examines with host Marilie Fouché how AI‑driven coronary CTA analysis strengthens diagnostic certainty, streamline...
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For consumer goods companies, the gap between the commercial plan agreed at head office and what gets executed on the shelf is one of the costliest disconnects in the business — investment goes out against activity that never happens, and revenue never arrives against activity that does.
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In this episode, Stephanie Lilley, VP of Transformation for Europe at Reckitt, examines why rigid rep call cycl...
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