Prakash Jaganathan
Where data management meets agentic AI
About
I write about how agentic AI is reshaping data management, governance, and stewardship — drawing on years of building enterprise data platforms for advanced analytics and AI workloads.
My focus is the intersection of data infrastructure and the AI systems that increasingly depend on it: lineage, quality, catalogs, contracts, and the operational layer that makes large-scale data trustworthy.
Recent Briefings
AI Governance & Ethics Briefing
A weekly digest of significant developments in AI policy, governance, and ethics — regulatory actions, legal analyses, research from think tanks, and the evolving global framework for trustworthy AI.
Data & AI Platforms Briefing
A daily survey of what's shipping across the data-and-AI platform ecosystem — cloud warehouses, lakehouses, transformation frameworks, vector stores, and the agentic infrastructure built on top. Organized along the data lifecycle.