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Applied AI for Enterprise Java Development
book

Applied AI for Enterprise Java Development

by Alex Soto Bueno, Markus Eisele, Natale Vinto
November 2025
Intermediate to advanced
430 pages
10h 29m
English
O'Reilly Media, Inc.
Content preview from Applied AI for Enterprise Java Development

Chapter 1. The Enterprise AI Conundrum

Artificial intelligence has rapidly become an essential part of modern enterprise systems. We witness how it is reshaping industries and transforming the way businesses operate. This includes the way developers work with code. However, understanding the landscape of AI and its various classifications can be overwhelming, especially when trying to identify how it fits into the enterprise Java ecosystem and existing applications. In this chapter, we aim to provide a foundation by introducing you to the core concepts, methodologies, and terminologies that are critical to building AI-infused applications.

While the focus of this chapter is on setting the stage, it is not just about abstract definitions or acronyms. The upcoming sections cover the following:

A technical perspective all the way to generative AI

While large language models (LLMs) are getting most of the attention today, the field of AI has a much longer history. Understanding how AI has developed over time is important when deciding how to use it in your projects. AI is not just about the latest trends; it’s about recognizing which technologies are reliable and ready for real-world applications. By learning about AI’s background and how different approaches have evolved, you will be able to separate the hype from what is actually useful in your daily work. This will help you make smarter decisions when it comes to choosing AI solutions for your enterprise projects.

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Publisher Resources

ISBN: 9781098174491Errata Page