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Building a Data and AI Platform with PostgreSQL
book

Building a Data and AI Platform with PostgreSQL

by Tom Taulli, Benjamin Anderson, Jozef de Vries
December 2025
Intermediate to advanced
142 pages
3h 35m
English
O'Reilly Media, Inc.
Content preview from Building a Data and AI Platform with PostgreSQL

Chapter 2. Why Data Decides AI’s Success

When it comes to deploying AI in the enterprise, much of the attention is focused on cutting-edge models and flashy applications. They dominate the headlines. But there is something critically important that gets short shrift: data. Even when it’s mentioned, it seems more like an afterthought or something where you check boxes.

Yet, without high-quality data backed up with a solid strategy, any AI implementation is doomed to fail. Data is the foundation of successful AI. It allows for better decision-making, accurate content, and effective searches, just to name a few. A successful AI strategy must be rooted in a deep understanding of data, not just where it’s coming from but how it’s processed, stored, and continuously optimized.

Consider a survey from S&P Global Market Intelligence and WEKA. According to more than 1,500 AI practitioners and leaders, the biggest challenge for AI deployments is storage and data management. By comparison, 26% of the respondents pointed to computing resources such as access to GPUs (graphics processing units), and 23% to security. This survey is not an outlier, either. Various others back up this conclusion.

In this chapter, we will look at the landscape of AI, but with a focus on the importance of data and its new lexicon, which is essential to this conversation.

Understanding the Different Modes of AI

At a conference in 1955 in Dartmouth, Stanford professor John McCarthy coined the term “artificial intelligence” ...

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Publisher Resources

ISBN: 9781098177935Errata Page