Red Hat OpenShift / AI Summit London 2022

Training and creating an AI/ML model is only the first, and believe it or not, maybe the easiest step in the model lifecycle. It is only by considering the whole lifecycle of the model (data gathering, deployment, monitoring, retraining,...) that you will be able to put the model to valuable use in production.

In industries, such as healthcare, where speed, reproducibility and security take a prominent role, applying the right architecture patterns, using the right tools, and most of all being able to constantly evolve your solution are the keys to success.

In this session we will:

See how Red Hat pragmatically approaches AI/ML solutions or platforms, along with partners and Open Source projects,
Walk you through different projects and examples we have worked on this past year (such as automated sepsis detection, or a shared data science platform for a Covid-19 research team), allowing AI/ML approaches to be used by healthcare professionals in their daily practice, both for Clinics and Research.
Speaker: Guillaume Moutier

In this rapidly changing society we need a way to quickly, efficiently and powerfully experiment with AI/ML concepts and systems. The revolution of Containers has brought a new facet into the equation; the ability to rapidly build, test and repeat AI/ML applications extremely easily while efficiently using compute resources.

This talk will present an overview and demo of the ways in which Containers can be easily used to build AI-centric applications, allowing data-scientists to spend more of their time experimenting and less time setting up complex systems.