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Java AI Integration Patterns for Enterprises: Key Concepts Explained

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A technical paper by Surya Rao Rayarao and Naga Donikena outlines practical patterns for integrating artificial intelligence into Java-based enterprise applications. The paper addresses the challenge of modernizing legacy Java systems with machine learning and natural language processing while maintaining reliability, scalability, and security. It covers core stages including data preparation, model training, evaluation, and deployment using formats such as ONNX, PMML, and TensorFlow. Native JVM libraries like Deeplearning4j, DJL, and Weka are highlighted as key tools for building AI models within the Java ecosystem. The overview focuses on foundational concepts, with architectural patterns set to be covered in subsequent sections of the work.

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Java AI Integration Patterns for Enterprises: Key Concepts Explained · ShortSingh