August 2025
Intermediate to advanced
124 pages
3h 7m
English
Content preview from The Rise of Logical Data Management
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Chapter 8. Logical Data Management and AI
The business world evolved with the advent of artificial intelligence, and it has likely impacted your company as well. Generative AI (GenAI) is a subset of AI that focuses on creating content such as text, images, and code. The arrival of large language models (LLMs) and GenAI reflect the growth of the technology. Businesses are using AI to improve innovation and integrate automation in their production processes. They are using it in diverse ways and through unique and different use cases. But how do logical data management and AI work together to improve your business data environment? In this chapter, we will explore the symbiotic relationship between AI and logical data management.
Logical Data Management as a Support for AI
AI and data are closely related. The technology relies heavily on data to fuel its engine. It relies on vast repositories of data that it uses to derive patterns, relationships, and outliers. The data that builds this knowledge base is known as training data, and the quality of AI insights is dependent on the quality of the training data fed into the system. The larger the volume and higher the quality of data that is fed into the training data set, the more accurate the predictions and decisions that AI produces based on this data. The more diverse and comprehensive the training data, the better AI will be at predicting new, unseen data and results.
A logical data layer creates a platform that delivers the trustworthy ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.