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This 52-minute conference talk provides a comprehensive introduction to AI and Machine Learning specifically tailored for Java developers. Learn about the new era of software development driven by Machine Learning, a subset of AI that predicts or generates results by analyzing large datasets and recognizing patterns. Discover how combining ML with Java can generate code, query unstructured enterprise documents, summarize emails, offer bug triage strategies, predict garbage collection issues, and identify library inconsistencies. Explore AI/ML fundamentals, the differences between Generative AI and Predictive AI, JSR #381 VisRec, effective prompt strategies, APIs, chatbot architecture, vector databases, and RAG strategies. Gain insights into REST-based APIs like Langchain4J, advanced prompt techniques, and practical guidance on working with Large Language Models. The presentation includes code demonstrations relevant to both new and experienced Java developers, highlighting appropriate use cases for Generative AI and situations where it should be avoided. Presented by Frank Greco (NYJavaSIG Chair) at JavaOne 2025 in California, March 2025.
