Maximise the Impact of AI/ML with Enterprise Kubernetes
Kubernetes: The Key to Building, Deploying, and Scaling Cloud-Native Applications
We’re witnessing an astonishing growth in the volume of information stored and processed in real time - now measured in zetabytes! As such, the world is 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 Analysts experience challenges pulling data from multiple sources across enterprise and cloud systems and making sense of that data.
- 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.
During this live webinar, Red Hat's resident expert, Tom Corcoran, will showcase an end-to-end AI/ML workflow running on Red Hat’s industry leading Kubernetes distribution, OpenShift. He will demonstrate use cases related to:
- Data Analytics and Dashboards
- Data Preparation and feature engineering
- Model training and visualisation
- ML-OPs
- Model Serving and inferencing adding intelligence to consuming applications
What you will learn:
- Overcoming 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 RBC, KPMG, Exxon Mobil, BMW, NTT to name a few, have accelerated their AI/ML projects with Red Hat OpenShift
Speakers
Tom Corcoran
AI Business Transformation Specialist
Red Hat
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