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:
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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).
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Taschenbuch. Zustand: Neu. 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. Artikel-Nr. 134292512
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