Java & AI, Moving from Experiments to Business Implementations
In the ongoing Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLM) revolution, Python has played a crucial role and has become the standard language for a lot of data scientists and machine learning engineers. However, as we move from experiments to business implementations, many organizations want to rely on the many benefits of Java and its stability and maturity. In this session, we want to highlight why Java deserves to be the primary choice for training AI and ML models and LLM-based applications in production environments.
Frank Delporte
Frank is a Java Champion and a Senior Technical Writer, where he combines his passion for writing, development, and community engagement to demystify the inner workings of the Java ecosystem. He is also the author of Getting Started with Java on the Raspberry Pi and contributes to open-source projects such as Pi4J and JFX Central. His dedication to the Java ecosystem and his efforts in knowledge sharing has led to his recognition as a Java Champion.
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