Transforming Care Management and Disease Management Workflows with Agentic AI - with Raheel Retiwalla of Productive Edge
Today’s guest is Raheel Retiwalla, Chief Strategy Officer at Productive Edge. Productive Edge is a digital transformation consultancy specializing in healthcare that helps payers, providers, and health tech companies use data to streamline operations, reduce costs, and improve outcomes. Raheel returns to the program to outline how agentic AI is helping payers and providers shift from reactive workflows to proactive, real-time engagement. Raheel explores practical use cases already in deployment—from AI agents that monitor benefit utilization and prevent care disruptions, to systems that surface behavioral health risks through missed appointments or medication gaps. 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 Productive Edge. Learn how brands work with Emerj and explore media options at emerj.com/ad1.
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Lessons from Project Warp Speed in How High-Velocity Partners Are Scaling AI in Manufacturing - with Emily Nguyen of Palantir Technologies
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!
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Unlocking Enterprise Efficiency Through AI Orchestration - Kevin Kiley of Airia
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!
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Why Human-Centered Service Still Matters in the Age of AI - Charles Pointer at Commerce Bank
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!
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AI in Healthcare Devices and the Challenge of Data Privacy - with Dr. Ankur Sharma at Bayer
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!
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 AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.
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