Idézet: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

Idézet:? Soto B. Applied AI For Enterprise Java Development.2026.pdf (Alex Soto Bueno;Markus Eisele;Natale Vinto (2020) (26.58 MB)

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.

Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.