Product Launchllmenterprise javaquarkuslangchain4j
Markus Releases Applied AI For Enterprise Java
8.0
Markus, with co-authors Alex Soto Bueno and Natale Vinto, has released the eBook Applied AI for Enterprise Java, now available on O’Reilly and Amazon. The book draws on real-world project experience and provides architectures, integration patterns, and runnable code hosted on a public GitHub repository to help Java teams integrate generative AI, LLMs, and ML into production systems.
Key Points
- 1Releases Applied AI for Enterprise Java, co-authored with Alex Soto Bueno and Natale Vinto.
- 2Highlights practical enterprise focus: integration patterns, inference APIs, and production constraints for Java systems.
- 3Provides runnable examples on GitHub enabling Java teams to adopt Quarkus and LangChain4j in production.
Scoring Rationale
Practical, official resource with runnable code and enterprise focus; limited novelty compared with new research or platform launches.
Sources
Public references used for this report.
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