The AI in Business Podcast Architecting Enterprise AI for Generative and Agentic Systems - with Ranjan Sinha of IBM
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Oct 30, 2025 
Ranjan Sinha, an IBM Fellow and CTO for watsonx, discusses the pivotal role of scalable AI infrastructure in transforming enterprises. He highlights the evolution from isolated AI experiments to mission-critical applications, emphasizing a robust data strategy as foundational. Ranjan elaborates on innovative advancements like IBM's NorthPole neuromorphic chip and the roadmap for quantum computing by 2029. He also addresses the risks associated with generative AI, the significance of open-source frameworks, and the need for reliable governance in enterprise AI adoption.
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AI As The New Operational Foundation
- Enterprises must treat AI as a reimagined operating foundation, not a set of isolated experiments.
- Ranjan Sinha argues that generative and agentic systems are becoming the foundation of business operations.
Connect Data Strategy To Business Goals
- Align your data strategy directly to business goals and define success metrics before scaling AI.
- Establish governance, start small with integrated solutions, then scale and communicate impact.
Most Enterprise Data Lies Untapped
- About 90% of enterprise data is unstructured and underused by current generative AI systems.
- Ranjan Sinha highlights that unlocking both structured and unstructured data is essential for agentic AI value.