How do market-leading organizations help data science teams do their best work within the constraints of the enterprise? Data science teams need fast access to business data and a diversity of tools for end-to-end machine learning that can make it challenging for IT to quickly enable them while maintaining data governance and controlling infrastructure costs.
In this webinar, discover how Cloudera Machine Learning (CML), part of the new Cloudera Data Platform (CDP), brings the agility and economics of cloud to self-service data science on governed business data at scale.
You’ll see how Cloudera Machine Learning lets IT:
Easily replicate governed datasets to the public cloud
Quickly deploy productivity-boosting ML workspaces for teams
Leverage auto-scaling and auto-suspension so teams get the resources they need without runaway costs
And how Data Scientists and Data Engineers will appreciate:
Self-service access to data from a browser-based workspace with all the tools needed for end-to-end ML
The freedom to experiment and run big jobs with right-sized computing resources including GPUs
A consistent user-experience that doesn’t change when the business moves data or infrastructure
The webinar includes a live product demo that will highlight features for IT and end-users.