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FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI Documenting the PostgreSQL protocol with pg_protoexport EDB heads to PGConf.Brasil 2026, this is what we’ll be talking about! Powering Invisible Commerce at World Cup Speed By the Time Your Data Warehouse Answers, the Opportunity Is Gone Building a Sovereign, Intelligent Data Foundation with EDB Postgres® AI on IBM LinuxONE 5 Deep Dive Into EDB Postgres AI's Agentic Database Capabilities Jumping the gun: looking ahead at PostgreSQL 19 Meeting in Montreal: Developer U plan(ner) patches KubeCon + CloudNativeCon NA EDB Summer Academy Your Database Goes Down. What Does That Cost Your Business? The Oracle Renewal Is Coming. This Time, There’s a Way Out. One Dashboard to Rule Them All — and Finally Get Your Fridays Back Your Database Should Be Working While You Sleep Inside the Agentic Database: How EDB Turned Postgres Into a Self-Managing System The Architecture IS the Security: Building Sovereign AI Ops on Postgres with EDB Agent Factory EDB Named a Leader in Multimodel Data Platforms Evaluation PGDay Hyderabad The Role of AI in Data Analytics: Moving From Hype to High-Octane Utility Iga Januszek Mike Olifirowicz Meeting EU Data Sovereignty Requirements While Speeding-Up Innovation Inside EDB’s New Principles for Responsible AI: Sovereign, Governed, Trusted and Beneficial Built From the Data Up: A Trusted Foundation for the Agentic Era | EDB Postgres® AI Q2-2026 Release EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives Stop Spending Hours on What Should Take Minutes: A DBA's Guide to EDB Postgres AI’s Agentic Database Capabilities Making Agentic AI Smarter at the Architecture Level Charly Batista
Chris Chiappone
Read Blogs · 2026-03-31 · via EDB

Sr. Principal Product Marketing Manager

Chris Chiappone is a Sr. Principal Product Marketing Manager with deep experience in cloud infrastructure, AI platforms, and enterprise data systems. He focuses on helping organizations design and scale modern platforms that bring together data, automation, and AI in practical, production-ready ways. His work spans product strategy, engineering leadership, and emerging architectures for hybrid and sovereign AI.

The Agentic Confusion: Why I Keep My Postgres Control Plane Deterministic

AI agents are showing up everywhere, but not every problem in a Postgres environment should be handed to a probabilistic system. This post walks through why core control-plane tasks like scaling and failover still belong in deterministic, policy-driven automation, while agents deliver more value in analysis, triage, and recommendation.