Today’s guest is Emily Nguyen, Head of Industrials at Palantir Technologies. Emily joins Emerj Editorial Director Matthew DeMello to discuss how Project Warp Speed is helping manufacturing leaders scale AI rapidly and effectively. She breaks down the key values driving successful AI adoption — including mission focus, first-principles thinking, and urgency — and shares real-world examples of AI applications in manufacturing, such as visual inspection and predictive maintenance. Emily recommends starting small with AI projects, meeting users where they are, and integrating with existing systems. She also explores the future of industrial collaboration, highlighting efforts to preserve tribal knowledge and enhance supply chain connectivity to improve national readiness. 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!

Today’s guest is Kevin Kiley, President of Airia. With extensive experience helping large enterprises implement secure and scalable AI systems, Kevin joins Emerj Editorial Director Matthew DeMello to explore how agentic AI is reshaping enterprise workflows across industries like financial services. He explains how these systems differ from traditional AI by enabling autonomous action across connected environments—introducing both new efficiencies and new risks. Kevin breaks down a phased roadmap for adoption, from quick wins to broader orchestration, and shares key lessons from working with organizations navigating complex compliance, data governance, and access control challenges. He also highlights the growing importance of real-time safeguards and defensive security strategies as AI capabilities — and threats — continue to evolve. This episode is sponsored by Airia. 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 Charles Pointer, Vice President of Bank Operations at Commerce Bank — a community bank with 160 years of history providing personalized financial solutions to individuals and businesses. Commerce Bank combines a people-first approach with a growing appetite for modernizing customer service through technology. With over 20 years of experience in commercial banking and customer operations, Charles joins Emerj Editorial Director Matthew DeMello on the show today to discuss how traditional banks are beginning their AI journey. He unpacks what early-stage AI adoption looks like in call center environments, how banks balance digital transformation with maintaining human connection, and what leaders should consider when introducing AI into customer-facing workflows. This episode is sponsored by Cognigy. 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 Dr. Ankur Sharma, Head of Medical Affairs for Medical Devices and Digital Radiology at Bayer. Dr. Sharma joins Emerj Editorial Director Matthew DeMello to explore the complex intersection of AI, medical devices, and data governance in healthcare. Dr. Sharma outlines the key challenges that healthcare institutions face in adopting AI tools, including data privacy, system interoperability, and regulatory uncertainty. He also clarifies the distinction between regulated predictive models and unregulated generative tools, as well as how each fits into current clinical workflows. The conversation explores the evolving roles of the FDA and EU AI Act, the potential for AI to bridge clinical research and patient care, and the need for new reimbursement models to support digital innovation. This episode is sponsored by Medable. 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!

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. David is a featured keynote speaker at the AI Infra Summit, September 9–11, 2025, in Santa Clara. 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.