Prakash Jaganathan
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.
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.
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Wednesday, September 23, 2026
The industry is converging on an agent context layer at every stage of the lifecycle — streaming vendors define a “streamhouse,” dbt v2 moves transforms onto open Iceberg tables, warehouses expose governed text-to-SQL over MCP, and governance shifts from catalog documentation to runtime enforcement.
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Friday, September 11, 2026
Capital and consolidation poured into the real-time layer this week — ClickHouse raised $400M and bought an LLM observability company, Cloudera struck a nine-figure model deal — while semantic models moved into open catalogs and governance quietly re-centered on what agents can reach and what they cost.
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Wednesday, September 9, 2026
Agent workloads are forcing the platform to grow new load-bearing parts — backup for Iceberg tables, a policy plane above every vendor's agent gateway, context layers bolted onto operational databases — while the engines underneath quietly trade determinism and bespoke code for speed and upstream defaults.
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.
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Monday, September 21, 2026
This week the governance debate narrowed to a single question — who verifies? California and New York closed legislative sessions that write independent auditors and verification organizations into statute, Anthropic hired a commercially entangled partner as its first embedded evaluator, and a cascade of agent supply-chain failures showed how little of autonomous system behavior anyone can currently see.
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Monday, September 14, 2026
This week the scaffolding of AI oversight started to harden — California stood up the first U.S. state framework for certifying independent AI auditors, House leaders from both parties signalled appetite for a federal risk framework, and Dario Amodei asked the industry to slow down — even as a run of agent-driven supply-chain failures made plain that the systems being audited are outrunning the people auditing them.
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Monday, September 7, 2026
Oversight stopped being theoretical this week: Brussels turned its AI Office and DSA machinery on live products, a state attorney general subpoenaed an agent developer, thirty new complaints tested a liability theory that Section 230 may not cover, and California handed Governor Newsom thirty bills that will set the ceiling for how far the enforcement wave travels.