The AI in Business Podcast

• Lessons from Walmart in Building AI at Scale - with David Glick of Walmart

  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!

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• Building AI Systems That Think Like Scientists in Life Sciences - Annabel Romero of Deloitte

  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!

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• Challenges Slowing AI Adoption in Life Sciences Manufacturing - with Yunke Xiang of Sanofi

  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.

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• What Smart Manufacturing Leaders Consider Before Adopting AI - with Tim Burge of Aquant

  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.

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• Shaping the Future of Healthcare with AI - with Lyndi Wu of NVIDIA and Will Guyman of Microsoft

  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!

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