WILMINGTON, Del., Jan. 21, 2026 /PRNewswire/ — EnterpriseDB (EDB), a leader in sovereign AI and data solutions, has unveiled a groundbreaking publication titled Building a Data and AI Platform with PostgreSQL. This book, released by O’Reilly Media, is authored by prominent experts in PostgreSQL and data platforms, providing a comprehensive guide for executives and architects aiming to transition generative and agentic AI from mere concepts to robust, production-ready platforms.
Addressing the AI Implementation Gap
The timing of this release is particularly significant as enterprises grapple with the challenges of AI integration. While 95% of organizations aspire to establish their own AI and data platforms within the next three years, many struggle to find a clear, actionable path to achieve this goal. Recent research from EDB indicates that 35% of executives are currently leveraging PostgreSQL for complex data and AI workloads, yet a mere 13% report success at scale. The authors attribute this disparity not to the models themselves, but rather to the underlying platform design.
Kevin Dallas, CEO of EDB, remarked, “Most AI initiatives have stalled because organizations never built the data foundations required to sustain them. We recognized this shift nearly two years ago, long before it became consensus. This book exists because enterprises kept asking the same question: not how to run a pilot, not how to test a model—but how to actually build an AI platform that works in production, securely and at scale.“
A Comprehensive Framework for AI Success
Unlike other publications that delve into specific AI tools or modeling techniques, Building a Data and AI Platform with PostgreSQL emphasizes the essential preconditions and strategic decisions that influence the successful deployment of AI in production environments. The book provides an executive-level framework designed to assist leaders in:
- Establishing a platform mindset to transcend disconnected pilot projects.
- Identifying the architecture and governance preconditions necessary for production AI.
- Grounding generative AI and agentic systems in trusted, real-time operational data.
- Mitigating data sprawl, technical debt, and cost escalation as AI workloads expand.
- Designing for sovereignty, compliance, and resilience in diverse global and regulated environments.
- Learning from case studies and proven patterns that organizations can adapt and implement.
Michael Schrage from MIT Media Lab, who contributed to the book, stated, “Organizations say data is an asset, but very few can explain their return on it. The companies that succeed with AI will be those that build platforms capable of continuous learning, measurement, and accountability, not just faster experimentation.“
Endorsements from Industry Leaders
Thought leaders and experts in the field have already begun to validate the book’s core thesis, emphasizing its relevance in the current market landscape. Michael Fauscette, founder of Arion Research, noted, “A must-read for anyone serious about moving AI from pilots to production. The authors nail why 87% of AI initiatives stall. PostgreSQL emerges as the platform that can unify transactional, analytical, and AI workloads without the complexity tax.“
Prof. Dr. Ingrid Vasiliu-Feltes, a quantum-AI governance expert, remarked, “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. Executives, architects, policymakers, and data leaders alike will find this book an indispensable compass for thriving in a rapidly evolving AI ecosystem.“
Furthermore, Tony Rhem, an enterprise AI consultant, emphasized, “This is one of the few books that truly gets the AI–data relationship right. It anchors AI success where it actually lives—in governed, high-quality transactional data—and provides clear guidance for moving beyond pilots to production-grade, agentic AI systems. This is a practical, executive-ready blueprint, not theory.“
Dr. Joe Perez, an Amazon best-selling author and data analytics expert, added, “Organizations are facing their own ‘periodic table moment’: the urgent need to unify fragmented data and AI into a cohesive platform. Rather than settle for mere tech theory, you get actionable frameworks, real-world case studies, and sharp guidance…This is a must-read for leaders and practitioners looking to drive ROI, compliance, and sustainable AI innovation.“
Availability and Industry Impact
To highlight the book’s significance within the industry, every attendee at the upcoming NVIDIA GTC 2026 conference will receive a complimentary hard copy of Building a Data and AI Platform with PostgreSQL. The book is currently available for purchase from O’Reilly Media and EDB. Leaders eager to transition AI from pilot phases to full production can download a free digital copy or request a hard copy at www.enterprisedb.com/resources/building-a-data-and-ai-platform-with-postgresql.
About EDB
EDB Postgres® AI (EDB PG AI) stands as the premier open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, whether on-premises or across cloud environments. Built on PostgreSQL, the world’s leading database, EDB PG AI integrates transactional, analytical, and AI workloads, empowering organizations to operationalize their data and large language models while maintaining control over their sovereign environments. With a commitment to the PostgreSQL community, EDB is a significant contributor to the project, ensuring the vitality of the global ecosystem. For more information, visit www.enterprisedb.com.
Media contact:
Steph McGuirk
Interdependence
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