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EDB

FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI 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 Buildfarm Query API Jaime Arze EDB PGD 6.4 Brings Distributed Consistency to Mission-Critical Postgres Data Layer Precedes Compute, GPU Capacity in Sovereign AI The pipeline tax is breaking enterprise AI at agent scale Sovereignty boosts enterprise AI returns, study finds As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI The Industrial Bank of Korea Bets Its Core Financial Infrastructure on EDB Postgres® AI Governing Agentic AI at Enterprise Speed Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate Just Clear a Day: What We Learned Running an AI Security Hackathon How Shinhan EZ Insurance Built a Cloud-Native Core Banking System on EDB Postgres® AI PGConf.dev 2026: Our team’s sessions, working groups, and key takeaways EDB Releases PGD 6.4 with Quorum Commit, Bringing True Distributed Consistency to Mission-Critical Postgres PostgreSQL Conference Europe (PGConf EU) Cloud Native Denmark Data Stack Conf Community over Code Postgres Summit US PGDay Lowlands PGDay UK PGConf.Brasil Kubernetes Community Days (KCD) Melbourne Swiss PGDay Switchover and Switchback of CloudNativePG Replica Clusters in a Distributed Topology (K8s) - Part 2 Preparing Enterprises for the Agentic Workforce CWO Society Dinner for FSI From VMs to Kubernetes: A DBA's Journey in a Large Global Bank AI Data Pipeline Automation with AIDB Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency Sovereignty Is the New Operating System for Agentic AI, New MIT Technology Review Insights Report Finds Beyond the DBaaS Trap: Achieving Data Sovereignty with Kubernetes and CloudNativePG Red Hat Ansible Automates: Washington DC OpenShift Showcase: Toronto 소버린 AI 전문가와 함께하는 EDB 웨비나 コンテナ化の運用の壁をどう超えるか 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 コンテナ化の運用の壁をどう超えるか? 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 A Day in the Life: Inside a Director of Sales Development Role at EDB Taller: Creación de una plataforma de análisis soberana a gran escala con EDB Postgres AI Workshop: Building a Sovereign Analytics Platform at Scale with EDB Postgres AI Building Real-Time, Data-Aware Intelligence with Postgres and the Model Context Protocol Yogesh Jain POSETTE How Euronext FX Built the Data Foundation for a New Era of Electronic Trading EDB Postgres® AI: The Sovereign Data and AI Platform for the Agentic Enterprise HOW2026 Data, Trust, and the New Rules of AI A Day in the Life at EDB: Inside a Director of Customer Success Role at EDB PostgreSQL vs MySQL: Migration Without the Migraine DIVA (Dive into AI) 2026 Club des Utilisateurs Français d’EDB Postgres (CUFEP) 2026 EDB Delivers “Intelligence per Watt” Paradigm to Slash Token Consumption and Cut Data Center Emissions by up to 87% EDB Postgres AI on OpenShift cluster using CSI driver for Dell PowerFlex takashi eridai EDB Japan EDB Spearheads the Year of the Agentic Workforce with Industry Recognition, Ecosystem Momentum, and Continued Postgres® Leadership A Strategic Roadmap for Oracle to Postgres Migration at Ooredoo Deployment of PostgreSQL Replica Cluster via Barman Cloud Plugin on CloudNativePG - Part 1 Making AI Work for Your Business PGDay Armenia Ava Chawla Why the World’s Most Stable OS Demands a High-Performance Data Foundation MySQL to PostgreSQL Migration Chris Chiappone EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era The Agentic Confusion: Why I Keep My Postgres Control Plane Deterministic The Next Generation of EDB Postgres AI Factory: Built for the Agent Era Why Your Analytical Database Needs Multiple Clusters to Do What WarehousePG Does With One Driving the Next Digital Experience
EDB at Red Hat Summit 2026: Building AI on Ground You Own
christina.ma · 2026-04-29 · via EDB

AI agents are moving rapidly from demos to decision-making. That shift changes the stakes considerably, and it’s surfacing a question enterprises keep arriving at from different directions: 

When AI is making mission-critical decisions, acting on your data, touching your operational systems—how much of that process is truly yours?

At EDB, we’ve been building toward an answer from the data layer for a long time. Open, portable, governed infrastructure—Postgres at the center—isn’t a new position for us. But the rest of the industry is catching up fast. 

Which is why we expect that sovereignty will be a key topic of discussion at Red Hat Summit this year, alongside AI, security, and infrastructure as a core thread running through the program in Atlanta this May. We’re featured in 2 sessions that get into the specifics of what building sovereign, production-grade AI actually looks like, technically and organizationally.

Why EDB and Red Hat: Open Source, All the Way Down

The EDB and Red Hat collaboration is built on a shared premise: enterprises shouldn’t have to choose between capability and control. Both companies are committed to open source not as a licensing model, but as a design philosophy that keeps customers portable, infrastructure auditable, and vendor lock-in off the table.

On the technical side, the integration runs deep. EDB Postgres AI on Red Hat OpenShift gives organizations a unified data layer for both structured data and vector embeddings—meaning the same Postgres instance that runs your operational database can also serve as the knowledge base for your AI applications. The pgvector extension handles vector storage and semantic search directly in the database, eliminating the complexity of a separate vector store and keeping your data where you already govern it. Red Hat OpenShift AI provides the platform layer: model lifecycle management, MLOps and LLMOps tooling, and the hybrid cloud flexibility to run workloads wherever they need to run.

What that combination makes possible is AI that’s grounded in your data, running on infrastructure you own, governed by policies you set—across clouds and on-premises environments, without rearchitecting every time the market shifts. That’s what sovereignty looks like in practice, and it’s what we are showing up to Red Hat Summit to talk about.

EDB Sessions at Red Hat Summit 2026

Building Scalable RAG Architectures with EDB, OpenShift, and OpenShift AI

Wednesday, May 13 |  11:40 AM–12:00 PM EDT  |  Developer Zone

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Postgres has always been a serious database. What’s changed is that it’s now a serious AI data layer, too. This session, led by Red Hat Technical Director ofHybrid Platforms, Natale Vinto, is a live demonstration of what that looks like end to end.

The architecture is RAG—Retrieval-Augmented Generation—built on EDB Postgres for Kubernetes on Red Hat OpenShift, integrated with Red Hat OpenShift AI. Postgres serves as the vector store and knowledge base: ingesting data, indexing it, and making it retrievable at the speed and governance level production workloads require. No separate vector database. No proprietary pipeline. Red Hat OpenShift orchestrates the workloads; Red Hat OpenShift AI handles model serving at scale.

The demo runs the full workflow, from data ingestion and vector indexing through to model inference, on an open, hybrid cloud stack you actually own. That’s the point.

Don’t Forget to Breathe: The Human Story Your AI Demo Is Missing

Wednesday, May 13 |  2:35–2:55 PM EDT  |  Expo Hall — Discovery Theater 1

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A few hours later, EDB Machine Learning Engineer Bilge Ince joins Red Hat’s Shane Heroux for something a little different.

Most AI demos don’t fail because the technology doesn’t work. They fail because the story doesn’t land. Ince and Heroux work through both directions: starting from a known problem, where the demo practically writes itself, and starting from a solution looking for a problem, which is the harder, messier path most teams actually face. They’ll show examples of demos that work, and explain exactly why they do—and why most don’t.

If you’re the person who has to translate what your stack does into something that compels a room that doesn’t think in infrastructure terms, catch this session.

Find Us in Atlanta

Red Hat Summit runs May 11–14 in Atlanta. If you’re attending, come find us at one of these sessions. And if you want more background on what EDB and Red Hat are building together, this is a good place to start.