(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. The sprawl of IT tools in organizations gets bigger, now also grappling with finding, building, serving and using AI models. 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 we work with AI. Thanks to exciting new open source projects, we can now create, use and serve AI models, as well as build platforms that can provide an optimal developer experience for both data scientists and software developers. This allows us 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, Kubernetes, CI/CD and GitOps.
Join this session as we share a series of live demos with Open Source innovations available today, featuring projects such as OpenDataHub (OpenShift AI), Kubernetes, and Backstage to accelerate development cycles and optimize your releasing performance. We will also integrate Open Source models into Java applications, even in a fully local development environment.