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Applied Ai For Enterprise Java Development: Leveraging Generative Ai, Llms, And Machine Learning In The Java Enterprise Natale Vinto O'reilly Media
Scientific Books

Applied Ai For Enterprise Java Development: Leveraging Generative Ai, Llms, And Machine Learning In The Java Enterprise Natale Vinto O'reilly Media

As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's essential to maintaining your competitive edge. The question is, how can you effectively incorporate...

As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's essential to maintaining your competitive edge. The question is, how can you effectively incorporate these groundbreaking AI technologies into your applications without getting overwhelmed by complexity?

Introducing this straightforward, practical guide to...

See Description & Specifications See Description & Specifications

Top specs

  • Language English
  • Number of pages Number of pages 433
  • Cover Cover Soft
  • Year of publication Year of publication 2025
  • Publisher Publisher O'Reilly Media
Genre: Computers - Informatics Logic Artificial Intelligence
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Description & Specifications

As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's essential to maintaining your competitive edge. The question is, how can you effectively incorporate these groundbreaking AI technologies into your applications without getting overwhelmed by complexity?

Introducing this straightforward, practical guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to combine the robustness of Java's enterprise environment with the dynamism of AI. It's more than just a how-to—it's a way to enhance enterprise software with smart AI integrations, ensuring your skills and applications stay at the forefront.

Inside, you'll discover how to:

  • Demystify GenAI's role and impact on modern software development
  • Create actionable, AI-powered applications using Java's extensive open source frameworks
  • Implement proven AI patterns designed for production-ready, enterprise-strength applications
  • Access and integrate top-tier open source AI models with Java's Inference APIs
  • Navigate the Java framework landscape with AI-focused agility and confidence

Pages: 350, Dimensions: 17.8x17.8cm

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Manufacturer Details

Warnings & Safety Information
Publisher
O'Reilly Media
Type
Computers - Informatics, Logic, Artificial Intelligence
Language
English
Subtitle
-
Cover
Soft
Number of Pages
433
Release Date
30/11/2025
Publication Date
2025
Dimensions
-
ISBN-13
9781098174507

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