Architecting Enterprise AI for Generative and Agentic Systems - with Ranjan Sinha of IBM

As agentic AI becomes a defining force in enterprise innovation, infrastructure has moved from a back-office concern to the beating heart of business transformation. On today's episode of the 'AI in Business' podcast, Ranjan Sinha, IBM Fellow, Vice President, and Chief Technology Officer for watsonx and IBM Research, joins Emerj Editorial Director Matthew DeMello to discuss the future of scalable AI infrastructure — from neuromorphic and quantum processing to open-source AI platforms built for trust and governance. Ranjan explains how enterprises are transitioning from isolated experiments to mission-critical AI applications, revealing why today's Fortune 500 leaders must reimagine compute, governance, and data pipelines to sustain automation and reliability at scale. He details IBM's breakthroughs in specialized processors, including the NorthPole neuromorphic chip and the company's roadmap for fault-tolerant quantum computing by 2029. 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! Watch Matthew and Ranjan's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.