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

In this episode of the AI in Business podcast, Matthew DeMello interviews Ranjan Sinha, IBM Fellow and CTO for Watson X and IBM Research, about the future of scalable AI infrastructure. Ranjan discusses the shift from AI experiments to mission-critical applications, emphasizing the importance of data strategy, governance, and security. He details IBM's advancements in neuromorphic and quantum processing, including the North Pole chip and the roadmap for fault-tolerant quantum computing. The conversation also covers agentic systems, the significance of open hybrid architectures, and IBM's commitment to open AI strategies for enterprise adoption. Ranjan highlights the need to reimagine workflows, focus on business outcomes, and build on strong data foundations to achieve transformative enterprise AI.