AI is one of the hottest topics in tech today, but embedding it into your systems is far from straightforward. It’s not just about deploying a model and connecting it with LangChain4j; you’ll need to make key decisions about build methods, how to synchronize and secure data, and ensure proper monitoring for bias and drift. Without careful planning, integrating AI can lead to serious issues such as unfair outcomes, data security breaches, and unreliable predictions. The stakes are high, and getting it wrong can result in real-world consequences that impact trust and business performance.

In this hands-on session, Maarten Vandeperre will demonstrate how to avoid some of the common “burns” experienced when integrating AI into systems. He will walk participants through how to safely embed an AI model into a platform. Together, you’ll explore how to address challenges like governance, security, and monitoring while ensuring the system operates reliably and fairly.

By the end of the session, attendees will leave with a clear understanding of how to integrate AI effectively and responsibly into complex systems.