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Learn about using Granite models and watsonx for enterprise AI with Java. Understand the importance of openness, interoperability, and long-term support in AI adoption. Granite models provide an open foundation for AI, while watsonx delivers enterprise governance and lifecycle management. The combination of Quarkus, LangChain4j, Jakarta EE, and Red Hat OpenShift AI provides a complete story for confident AI adoption. This approach aligns AI adoption with the principles that made Java successful, ensuring investments remain valuable over time.

Boost machine learning performance on IBM Z with SnapML preprocessing that uses scikit learn pipelines, optimized C++ execution, efficient data transformations, graph feature engineering, and consistent training to production workflows for accurate and low latency enterprise inference.

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0. 20 October 2025 Tutorial Spring...Java applications for CICS, Part 1: JCICS, Gradle, and Maven Learn...

to Newest Title A–Z Title Z–A 08 October 2025 Series The future...different prompting techniques. 10 July 2024 Series IBM's generative...

to Newest Title A–Z Title Z–A 10 April 2024 Series Learning series:...

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Unlock the inner workings of Java streams with this in-depth guide, covering stream pipelines, lazy evaluation, parallel processing, performance optimization, efficient data handling, Java 8 and beyond, functional programming techniques, and best practices for high-performance Java applications.