Cloud Platforms for AI – Why you should care about DevOps, Containers and Kubernetes


Today there are hundreds of AI/ML software packages available that are bringing sophisticated AI solutions to an ever widening audience. But how can your organization make effective use of these capabilities? How can you establish a workflow that engages your engineers, data scientists, application developers, IT professionals and business users in the efficient development, deployment and optimization of ML models? How can you automate as much of this process as possible, and take advantage of the flexibility, scalability and cost savings afforded by cloud computing?

Join this keynote session with Steven Huels, Sr. Director of Software Engineering at Red Hat, for an exciting exploration of the new platform technologies that underpin the most demanding AI applications. You’ll learn about how open source cloud technologies are being applied to support AI workflows, and how container-based solutions like Kubernetes automate the provisioning and scaling of compute resources. We’ll cover some real-world use cases, and introduce reference architectures that you can utilize right away.


Steven is the Senior Director of the Red Hat AI Center of Excellence with responsibility for Red Hat’s AI strategy and how that impacts internal use cases, products, customers, and partner ecosystem.
Steven has been involved with real-time data management and analytic platforms for over 20 years as a consultant, developer, product owner, and engineering manager.

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