Summary

This chapter explored how AI can be integrated into Java applications to enhance performance, efficiency, and reliability. The chapter covered an introduction to AI in Java, which included an overview of AI’s relevance to high-performance Java applications, highlighting current trends and future directions in AI. We also examined how AI can be used for code optimization and predicting performance bottlenecks.

The chapter also examined how AI can help improve monitoring and maintenance processes through anomaly detection, AI-based logging, and alerting systems. We also looked at the concept of predictive maintenance models. A review of AI service platforms included a look at TensorFlow, Apache Spark MLlib, AWS AI Services, and Google Cloud AI.

We ended the chapter with a look at ethical and practical considerations, not as an afterthought to the book, but as a final important concept to leave you with. We addressed the ethical implications of using AI, including...