Today’s guest is David Glick, Senior Vice President of Enterprise Business Services at Walmart. Walmart is one of the world’s largest retailers, serving millions of customers through thousands of physical stores and online platforms. David joins Emerj Editorial Director Matthew DeMello to share practical lessons from Walmart’s experience building AI at scale. He dives into how Walmart uses small, focused AI “nano agents” to solve specific business problems quickly and effectively and how a “super agile” development process accelerates collaboration between engineers and domain experts. David also discusses overcoming organizational hurdles to deploy AI solutions rapidly while maintaining security and compliance. This episode is sponsored by Kisaco Research. 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 Annabel Romero, Specialist Leader focusing on AI for Drug Discovery at Deloitte and a structural biologist by training. Deloitte is a global consulting firm known for its work in digital transformation, data strategy, and AI adoption across regulated industries. Annabel joins Emerj Editorial Director Matthew DeMello to explore how AI systems are being designed to think more like scientists—particularly in protein modeling and life sciences research. She shares how tools like AlphaFold and large language models are accelerating drug targeting, predicting allergen cross-reactivity, and translating learnings from human biology to agricultural innovation. This episode is sponsored by Deloitte. 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 Yunke Xiang, Global Head of Data Science for Manufacturing, Supply Chain, and Quality at Sanofi. Yunke joins Emerj Editorial Director Matthew DeMello to discuss the challenges that slow AI adoption in life sciences manufacturing, highlighting how fragmented data systems and legacy infrastructure create hurdles for AI initiatives. In this episode, Yunke explains how years of acquisitions and siloed data have made building a cohesive data foundation difficult, impacting AI’s potential in manufacturing and supply chain optimization. Yunke shares Sanofi’s approach to balancing build versus buy decisions for AI solutions and the critical role leadership plays in fostering an environment where data science can thrive. Yunke also reflects on the evolving landscape of AI in pharma manufacturing and the importance of strong governance and collaboration for successful implementation. 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 emerj.com/ad1.

Today’s guest is Tim Burge, Director at Aquant. Aquant is an AI platform built for service teams that maintain and repair complex equipment. It gives clear, accurate answers to service questions — from basic fixes to deep diagnostics — so field techs, call centers, managers, and customers can get to solutions faster. Used by top manufacturers like Siemens and Hologic, Aquant helps reduce downtime, lower service costs, and boost customer satisfaction. Tim joins Emerj Editorial Director Matthew DeMello for today’s conversation to discuss how manufacturing leaders are reevaluating their AI deployment strategies across field service and operations. As the dust settles on the generative AI hype cycle, organizations are moving past the build-versus-buy binary and embracing hybrid approaches. Tim explains why service departments in particular require a specialized lens for AI implementation and shares how leaders can optimize time-to-value, improve data quality, and drive adoption across legacy 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 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, Principal Group Product Manager Will Guyman of Microsoft and Senior Director Lyndi Wu of NVIDIA explore how healthcare providers are deploying AI at scale to drive clinical and operational transformation. With host Matthew DeMello, they discuss the combined power of NVIDIA’s GPU acceleration and Microsoft’s Azure cloud to enable seamless AI integration—from the exam room to the data center. Will explains how AI is alleviating administrative burdens, improving imaging diagnostics, and reshaping physician workflows through ambient documentation and agentic systems. Lyndi expands on the infrastructure demands of scaling these systems, highlighting NVIDIA’s full-stack ecosystem approach and the role of healthcare startups in fast-tracking AI deployment across hospitals and life sciences organizations. This episode is sponsored by Microsoft and NVIDIA. 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!

Enterprise leaders are no longer asking if they should adopt AI — the question is how to do it effectively. In this episode, Emerj Editorial Director Matthew DeMello speaks with James Raybould, SVP and GM of Turing Intelligence at Turing, about what distinguishes successful enterprise AI deployments from stalled pilots. Turing is one of the world’s fastest-growing Artificial Intelligence companies, working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems —delivering real business results, faster, smarter, and at scale. James outlines three critical factors that determine whether an AI initiative gets traction: business alignment, workforce readiness, and infrastructure. He explains why companies that start with the technology — instead of the problem — are likely to fall behind, and what it really means to prepare a workforce for AI when automation changes the expectations of work quality and speed. This episode is sponsored by Turing. 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 Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

In this second of a two-part series, Nick Lewis, Managing Director for the High Risk Client Unit at Standard Chartered Bank, returns to the AI in Business podcast to unpack the ongoing transformation of anti-financial crime efforts in an increasingly digitized world. In this episode, Nick and Emerj Editorial Director Matthew DeMello examine the persistent tension between rule-based alert systems and the nuanced, judgment-driven work of human investigators in financial crime prevention. Nick highlights how current AML workflows still rely heavily on deterministic systems that struggle to distinguish legitimate anomalies from criminal behavior—and why AI solutions must be deployed carefully to avoid removing critical 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! 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!

Fraud in retail is evolving fast — from return scams to first-party misuse that blurs the line between customer error and criminal intent. In this episode of the ‘AI in Business’ podcast, Naveen Kumar, Director of Financial Crimes at Walmart and former PwC fraud specialist, joins Emerj Editorial Director Matthew DeMello to discuss how AI, automation, and policy analytics are reshaping fraud detection strategies in retail and beyond. Naveen outlines the expanding threat surface across digital touchpoints and the rise of personalized, context-aware fraud. He shares how Walmart’s financial crimes team applies signal-based analysis, real-time feedback loops, and agentic AI systems to improve proactive detection while preserving customer 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! This episode is sponsored by Justt. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Alain-Sam Cohen, Head of Product at InstaDeep—an AI firm using reinforcement learning and other advanced techniques to solve complex design and optimization problems across industries. It may not make headlines like generative AI, but for manufacturers and engineers, PCB design remains one of the most time-intensive steps in building physical systems. From strict physical constraints to millions of potential component arrangements, even expert teams face persistent bottlenecks. Alain-Sam breaks down how InstaDeep’s AI-driven approach is changing that reality—using reinforcement learning to accelerate and enhance circuit board layout in ways rules-based systems can’t match. 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 InstaDeep. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Damion Nero, Head of Data Science at Takeda Pharmaceuticals. With over 15 years of experience applying AI, machine learning, and real-world data to drug development and precision medicine, Damion joins Emerj Managing Editor Matthew DeMello to explore the evolving role of AI in drug development and supply chain management. He breaks down how AI is currently streamlining administrative and regulatory tasks, improving efficiency across clinical trials, and saving valuable time for healthcare professionals. Damion also discusses why broader, transformative supply chain efficiencies are still on the horizon, as AI continues to evolve and scale in the pharmaceutical industry. This episode is sponsored by Arkestro. Learn more about Arkestro’s upcoming Advisory Council event here. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.