O'REILLY BOOK

Building a Data and AI Platform
with PostgreSQL

A practical, executive-level blueprint for turning AI ambition into real outcomes—using PostgreSQL as the foundation for secure, sovereign, and scalable intelligence.

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95% of enterprises plan to become their own AI and data platform within three years—but few have a deliberate path forward.

As AI, data, and open source converge, success depends less on tools and more on platforming. This book helps leaders build strategic foundations that balance agility, governance, and long-term scale.

What industry leaders are saying

  • “

    "The authors tackle one of the most critical challenges of our era: how to harness AI, data, and open source technologies responsibly while maintaining agility, resilience, and sovereignty."

    Professor Dr. Ingrid Vasiliu-Feltes 
    Quantum-AI Governance Expert
  • “

    “A must-read for anyone serious about moving AI from pilots to production. The authors nail why 87% of AI initiatives stall—and why PostgreSQL can unify transactional, analytical, and AI workloads without the complexity tax.”

    Michael Fauscette 
    Founder & CEO, Arion Research
  • “

    “This is one of the few books that gets the AI–data relationship right. It anchors AI success where it actually lives: governed, high-quality, transactional data—not models alone. This is a practical, executive-ready blueprint, not theory.”

    Dr. Anthony J. Rhem 
    CEO, AJ Rhem & Associates, Top 50 Global AI Leader
  • “

    “One line that stuck with me: ‘Adopt a platform mentality for AI and data.’ This is a must-read for leaders and practitioners looking to drive ROI, compliance, and sustainable AI innovation.”

    Dr. Joe Perez 
    Amazon Bestselling Author and Data Analytics Expert
  • “

    “This book reframes PostgreSQL from “just another database” into the learning lab for a modern, data and AI organization. It reminds us that databases are more than a part of the architecture; they are the central player acting as the backbone to a holistic data infrastructure.”

    Melissa Drew 
    Founder & Host, AI Literate Citizen Podcast
  • Productive ROI with Your Data and AI

    Michael Shrage, MIT Media Lab

  • The Changing Economics of Data in the Agentic Age

    Michael Fauscette, Arion Research

  • Breaking Old Mental Models of Database Engineering

    Thomas Koulopoulos, Delphi Group

Inside, you'll learn how to:

  • Treat data and AI as a platform, not a collection of pilots
  • Ground GenAI and agentic systems in trusted transactional data
  • Avoid data silos, technical debt, and runaway AI costs
  • Build sovereign, compliant, and scalable AI architectures
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Meet the authors

Jozef de Vries

Jozef de Vries leads database engineering at EDB, leveraging over 15 years of leadership experience from IBM to help enterprises modernize with PostgreSQL and navigate the intersection of AI and infrastructure. He is dedicated to driving transformational change through data and technology.

LinkedIn

Benjamin Anderson

Benjamin Anderson is a seasoned technologist specializing in open source data platforms and AI innovation. Anderson drives EDB's portfolio technical strategy, bridging the needs of the individual developer with the enterprise exec.

LinkedIn

Tom Taulli

Tom Taulli is a prominent AI writer and tech consultant. The author of several books on AI and technology trends, Tom provides a unique perspective on the evolving relationship between data, AI, and business strategy.

LinkedIn

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