Welcome to the AI jungle! Now what? by Kevin Dubois

(Generative) AI has taken the world by storm and acted as an accelerant to business transformation. Sure, it can potentially increase efficiency and productivity, but doesn’t it feel a little bit like the Wild, Wild West out there? Many “regular” application developers are overwhelmed with having to deal with yet another paradigm shift and a new set of things to learn. Even Data Scientists, creating models themselves, are often not sure where to go once they’ve experimented, trained and refined models.Fortunately, the open source world offers a wonderful opportunity to standardize and democratize the way developers and data scientists work with AI.Join this session for a series of live demos featuring innovative open source projects that accelerate development cycles and optimize release performance for AI applications. You’ll discover how to build and deliver AI models and AI-infused applications in a repeatable, secure, and enterprise way using tried-and-true technologies and methodologies such as containers, Java, Kubernetes, CI/CD, and GitOps. You will also learn how to integrate open source models into Java applications in a fully local development environment.Projects covered include OpenDataHub, Backstage, LangChain4j, Kserve, Podman AI Lab, and more.