Unlock the value of AI/ML with enterprise Kubernetes

OVERVIEW

We’re witnessing an astonishing growth in the volume of information stored and processed in real time - now measured in zetabytes! The world is now well past the point where making sense of all this information is humanly possible and we need specialised tools such as AI/ML to reveal new intelligence and drive actionable outcomes.

Now algorithms can tackle more ambitious problems. AI/ML platforms can now be deployed at a fraction of the time and cost, and made use of by a new generation of data scientists and data engineers.

Yet despite these advances, challenges persist:

• Data Scientists and Data Engineers can’t get ready access to the tools and compute power they need to respond to business demand
• A lack of frameworks and architecture to support model building, deployment and monitoring, inherently affects delivery speed of AI/ML workloads
• Siloed teams, manual processes and lengthy process results in increased cost

Join Red Hat’s resident AI/ML experts, Tom Corcoran and Bryon Baker, for a live demonstration of an end-to-end AI/ML workflow running on Red Hat’s industry leading Kubernetes distribution, OpenShift.

In this live webinar, our AI/ML gurus will showcase the use case that assesses the likelihood of customer churn including the following stages:

• Data Preparation and feature engineering
• Model training and visualisation
• ML-OPs
• Model Serving and inferencing adding intelligence to consuming applications

What you’ll learn:

• Challenges in delivering AI/ML workloads
• How continuous delivery practices will accelerate your model development and ongoing tuning
• How OpenShift provides the tools for data engineers and data scientists on demand
• How global organisations, such as KPMG, Exxon Mobil, BMW to name a few, have accelerated their AI/ML projects with Red Hat OpenShift

Who should attend:

• Business Leaders who want to learn how a self-enabled data scientist can deliver value
• Data Engineers and Data Scientists and Developers who want to respond quickly to business demand to build, deploy, and maintain AI/ML models for intelligent applications

Questions? Please contact Rebecca Innes (rinnes@redhat.com).