After building your machine learming model, you still have to get it deployed into production to gain real value.
MLOps provides the capabilities that data science and IT/Ops teams need to work together to deploy, monitor, manage, and govern machine learning models in production.
During our fireside chat with Mike Gualtieri (VP, Principal Analyst at Forrester) he provides insight into what MLOps is and how organizations can use it to derive full value from their machine learning projects.
What you'll learn:
Best practices required for successful and sustained deployment of machine learning in production.
The importance of managing the dynamic nature of machine learning applications.
Why a strong MLOps strategy is required to enforce governance policies.
Click here to view the DataRobot on-demand webinar, "Laying an ML Ops Foundation: A Fireside Chat with Featured Speaker Mike Gualtieri." (Also, have a look at the presentation slides we've attached to this post.)
After watching the webinar
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