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EnterpriseDB Unveils a Game-Changing Guide for Data and AI Platforms

EnterpriseDB (EDB), a leading name in sovereign AI and data solutions, recently made headlines with the launch of its pioneering book, Building a Data and AI Platform with PostgreSQL, published by O'Reilly Media. This significant publication marks a robust effort to guide organizations through the often tumultuous journey of integrating AI technologies into their existing systems. The timing of this release coincides with a critical juncture in the enterprise AI landscape, where 95% of companies are aspiring to build their own AI capabilities in the next few years.

The Need for a Structured Approach

Market research conducted by EDB reveals that while a commendable 35% of executives have adopted PostgreSQL for complex data and AI tasks, only 13% are achieving scalable success. This disparity, as pointed out by the book’s authors, predominantly arises not from the AI models used but rather from foundational platform design issues. Kevin Dallas, EDB's CEO, emphasizes this challenge, stating, "Most AI initiatives have stalled because organizations never built the data foundations required to sustain them."

Addressing Key Challenges

The book provides a systematic framework aimed at executives and architects, facilitating a transition from disconnected pilot projects to robust, production-ready AI systems. The focus is on fundamental organizational shifts:

• - Platform Mindset: Transitioning beyond retention of initial pilot projects into comprehensive platforms that integrate diverse operational functions.
• - Architecture Requirements: Clarifying the governance and architectural prerequisites essential for successful AI production.
• - Real-Time Data Utilization: Advocating for a structure rooted in trusted, real-time operational data, which is crucial for effective AI deployment.
• - Cost Management: Strategically reducing data sprawl and managing costs associated with AI workload growth.
• - Sovereignty and Compliance: Designing with global regulations in mind to ensure that all data and AI initiatives are compliant and resilient.

Insights from Industry Experts

The publication has garnered substantive validation from industry leaders. Michael Schrage of MIT Media Lab notes that companies must cultivate measurable accountability if they are to truly leverage their data as an asset. Industry thought leader Michael Fauscette describes the book as a must-read for serious practitioners, asserting that PostgreSQL presents a cohesive solution for merging transactional, analytical, and AI workloads seamlessly.

Experts like Prof. Dr. Ingrid Vasiliu-Feltes emphasize that this book provides a necessary roadmap for professionals aiming to harness the potential of AI responsibly and effectively, addressing both agility and governance challenges.

A Comprehensive Resource

Unlike typical books that delve into specific AI applications or techniques, the comprehensive framework presented by Building a Data and AI Platform with PostgreSQL offers executive-level strategies and is filled with case studies from successful organizations. It empowers leaders to evolve their AI projects beyond experimental phases into fully functioning and profitable parts of their operations.

Industry Distribution and Future Implications

To further underscore the book’s importance within the sector, all 25,000 attendees at NVIDIA GTC 2026 will receive a complimentary hard copy, reinforcing EDB’s commitment to developing robust foundations for future AI initiatives across various fields. This availability signifies the industry’s readiness to adopt a continuous learning model, wherein successful AI integration is predicated on a solid, well-governed data platform.

Conclusion

Building a Data and AI Platform with PostgreSQL is more than just a manual; it is a crucial resource for any organization looking to transition AI from conceptual pilots to robust operational platforms. As enterprises face increasing pressure to innovate and remain competitive, the insights and frameworks provided in this book will undoubtedly become indispensable in this rapidly evolving technological landscape.