Driving Multi-Modal Retail and Healthcare CX - with Brett Kiley of CVS Health
In this episode of the AI in Business Podcast, Brett Kiley, Executive Director of Customer Experience and Client Solutions at CVS Health, joins us for a compelling discussion on the evolving landscape of customer interactions. With over two decades of experience, Brett shares how CVS navigates the challenges of personalization, efficiency, and seamless service across their retail, pharmacy, and health services divisions. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.
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Global AI Regulations and Their Impact on Industry Leaders - with Micheal Berger of Munich Re
Today’s guest is Michael Berger, Head of Insure AI at Munich Re. Michael returns to the Emerj podcast platform to discuss the impact of legislation such as the EU AI Act on the insurance industry and broader AI adoption. Our conversation covers how regulatory approaches differ between the United States and the European Union, highlighting the risk-based framework of the EU AI Act and the litigation-driven environment in the U.S. Michael explores key legal precedents, including AI liability cases, and what they signal for business leaders implementing AI-driven solutions. 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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21:01
GenAI Efficiencies in Manufacturing, Smart Farming, and Beyond - with Steffen Hoffmann of Bosch
Today’s guest is Steffen Hoffmann, Managing Director of Bosch UK. Steffen joins the podcast to discuss how Bosch is leveraging AI across industries, from precision agriculture to HR automation and manufacturing quality control. Throughout our conversation, Hoffmann gives a revealing insight into how Bosch’s AI-driven black grass detection system is helping farmers reduce chemical use and lower costs by precisely targeting affected areas. He also explores Bosch’s history of deploying AI-driven solutions, from early automotive transmission control systems to smart home appliances that adapt to user behaviors. In manufacturing, Bosch is leveraging AI to enhance quality control, with AI-powered inspection systems identifying defects and optimizing production efficiency. 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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21:56
How AI is Transforming Asset & Wealth Management From Data to Decisions - with Paul Ronan of FE fundinfo
Today’s guest is Paul Ronan, Chief Technology Officer at FE fundinfo. FE fundinfo is a leading financial data company connecting the investment industry in the UK, Europe, and Asia Pacific through a single integrated platform. With over 30 years of expertise, FE fundinfo empowers asset and wealth managers to streamline operations, improve client outcomes, and make confident, data-driven decisions. In this episode, Paul joins us to discuss how industry leaders are adopting AI to enhance efficiency, improve client personalization, and redefine operational models. While some firms embrace AI as a strategic imperative, others remain cautious due to concerns over data quality and regulatory uncertainty. The conversation explores the shift toward outcome-driven AI programs and the strategies firms need to navigate the evolving investment industry landscape. This episode is sponsored by FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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33:52
Breaking Down AI’s Role in Genomics and Polygenic Risk Prediction - with Dan Elton of the National Human Genome Research Institute
Today’s guest is Dan Elton, a Staff Scientist at the National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH). Dan returns to the program to explore how AI is advancing genetic research, from protein engineering to gene editing and risk prediction. One of the most significant breakthroughs in this space is AlphaFold, DeepMind’s AI model that predicts protein structures with unprecedented accuracy. While it does not analyze genetic sequences directly, its ability to model protein folding is transforming drug development and protein engineering. Dan also discusses the potential for AI to improve polygenic risk prediction, where machine learning models are being applied to assess disease risk based on genetic markers. 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!
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.
Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
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