Session

Practical Applications and Trends in AI for Java Developers

AI is reshaping how developers build and optimize applications, and Java developers need to stay ahead. This session covers integrating AI and machine learning into Java applications using open-source tools, Snowpark, and Java UDFs for efficient data processing. You'll also learn how to run ML models natively, leverage Arctic LLM for generative AI, and build interactive AI-powered apps with Streamlit—all within a seamless, high-performance environment.

We’ll explore best practices, common pitfalls, and real-world strategies for deploying AI-powered Java applications in the cloud. If you're looking to enhance performance, streamline workflows, and future-proof your skills with open-source AI, this session is your gateway to building smarter, AI-driven Java applications!

Fawaz Ghali

Snowflake, Lead Developer Advocate - EMEA

London, United Kingdom

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