Prakash Jaganathan

Prakash Jaganathan — Building Trusted Data Foundations for Enterprise AI. Data Engineering, Data Platforms, Metadata, Data Trust, and AI Governance, with Governance Agents at the center.

About

I'm an Enterprise Data & AI leader with 25+ years building the governed, AI-ready data foundations that large enterprises run on.

I write about agentic data governance — making enterprise data trustworthy enough for autonomous agents to act on it, not just query it. In the agentic era, AI doesn't replace trusted data foundations; it runs on them.

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Recent Briefings

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.

AI Governance & Ethics Briefing ↑ Top

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.

  • Monday, July 27, 2026 WEEKLY · Monday, July 27, 2026
  • Monday, July 20, 2026 WEEKLY · Monday, July 20, 2026
  • Monday, July 13, 2026 WEEKLY · Monday, July 13, 2026

    The center of gravity shifted to hard deadlines and hard law this week: Brussels stood up an AI-cybersecurity action plan days before the AI Act's August obligations bite — even as it deferred its high-risk rules — while Illinois and its peer states pressed ahead with binding safety, audit, and child-protection mandates that Congress is still scrambling to match.

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