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How do you take AI from demos to real, production-ready Java applications? And what has really changed in OpenTofu after two years in the wild? In this technical session, we go hands-on with Spring AI and Java, exploring how to integrate and manage AI services in real-world applications, and we review the current state of OpenTofu, two years after its creation. 🔹 Spring AI in Action: Integrating and Managing AI Services in Java With Raffaele Auriemma, you’ll see practical, no-fluff examples of how to build context-aware, production-ready AI applications using Spring AI. We cover how to integrate AI providers, manage prompts and context, and apply patterns that actually work in enterprise Java environments. 🔹 Two years of OpenTofu: what’s happened so far? With Christian Alexander Polanco Valdez, we take a clear look at OpenTofu today: adoption, governance, ecosystem maturity, and how the project has evolved since its split from Terraform. A must-watch if you work with Infrastructure as Code or cloud platforms. In this session, you’ll learn: How to integrate AI services in Java with Spring AI What it really takes to build production-ready AI applications How to design context-aware AI workflows The current status and future direction of OpenTofu Key insights for DevOps and cloud-native teams Ideal for Java developers, software architects, DevOps engineers, and cloud professionals who want to move beyond theory and understand what actually works in production.