What’s the Deal with Managed Services and Model Delivery?


If you are like me, the first time you heard of 'Managed Services' you scratched your head and said 'What are Managed Services? What do they have to do with Model Delivery? Where do I go for Managed Services? And of course, my favorite question with any new technology, are they easy to use?

Join me for a session in which we will learn what managed services are and how they are being more frequently used in hybrid cloud platforms to enhance and help with the Model Delivery process. We will finish the session, by taking a quick look at what managed services are available in the new Red Hat OpenShift Data Science platform.

Let's help you understand what Managed Services are so that you can 'manage' your way into delivering your models faster and more easily!


Audrey Reznik has been in the IT industry (private and public sectors) for 27 years in multiple verticals. In the last 4 years, she worked as a Data Scientist at ExxonMobil where she created a Data Science Enablement team to help data scientists easily deploy ML models in a Hybrid Cloud environment. Audrey was instrumental in educating scientists about what the OpenShift platform was and how to use OpenShift containers (images) to organize, run, and visualize data analysis results. Audrey now works as a Data Scientist with the Red Hat Data Science Team where she is focused on next-generation applications. She is passionate about Data Science and in particular the current opportunities with ML and Federated Data.

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