Applied AI for Enterprise Java Development | Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise

Alex Bueno (u. a.)

ISBN 10: 109817450X / ISBN 13: 9781098174507

Published by O'Reilly Media, 2025

Applied AI for Enterprise Java Development | Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise | Alex Bueno (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | O'Reilly Media | EAN 9781098174507 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 134292512

Synopsis:

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

Enter this clear-cut, no-nonsense 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 marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to—it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge. Inside, you'll unlock the power to:

• Demystify GenAI's role and impact on contemporary software development
• Craft actionable, AI-driven applications using Java's rich ecosystem of open source frameworks
• Implement field-tested AI patterns tailored for prod-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-centric agility and confidence

About the Authors: Alex Soto is a Director of Developer Experience at Red Hat. He is passionate about the Java world, software automation and he believes in the open-source software model.

Alex is coauthor of several books and contributes to various open-source projects, further fostering collaboration and innovation. Recognized as a Java Champion since 2017, and awarded with the Hermano Salvador González prize for his work on Emergent Intelligence applied to Data Mining.

Alex is an esteemed international speaker, sharing his knowledge and expertise at conferences and events worldwide. He also serves as a radio collaborator at Onda Cero and imparts sessions as a teacher at Salle URL University.

For the latest updates and insights into the Kubernetes and Java world, follow Alex on Twitter (@alexsotob).

Markus is a Java Champion, former Java EE Expert Group member, founder of JavaLand, reputed speaker at Java conferences around the world, and a very well known figure in the Enterprise Java world. With more than 16 years of professional experience in the industry, he designed and developed large Enterprise grade applications for Fortune 500 companies. As an experienced team lead and architect, he helped implement some of the largest integration projects in automotive, finance and insurance companies.

More than 12 years of international speaking experience and 5 years in developer advocacy with a strong focus on Java platforms helped him build a large network of professionals and influencers.

He is an O'Reilly author and helped with technical reviews of more than 10 books about technologies he cares for. He published more than 100 articles in various IT publications over the last 10 years.

Natale Vinto is a Software Engineer with more than 10 years of expertise on IT and ICT technologies, and a consolidated background on Telecommunications, DevOps and Linux operating systems. As a Solution Architect with a Java development background, he spent some years as EMEA Specialist Solution Architect for OpenShift at Red Hat.

Today Natale is a Developer Advocate Lead at Red Hat and author of "Modernizing Enterprise Java" and "GitOps Cookbook" for O'Reilly helping people within communities and customers have success with their Kubernetes and cloud native strategy.

Bibliographic Details

Title: Applied AI for Enterprise Java Development |...
Publisher: O'Reilly Media
Publication Date: 2025
Binding: Taschenbuch
Condition: Neu