WEBINAR | DEMO
How to Accelerate Data Science with Domino's Enterprise MLOps Platform
August 30, 2022
8:00am PDT / 11:00am EDT / 4:00pm BST
Accelerate Data Science with Domino's Enterprise MLOps Platform
See how Domino can increase your model velocity by streamlining the development and deployment of models.
Domino removes the barriers that constrain your data scientist’s productivity. It's easy to collaborate and find past work. With one click they can instantly spin up a workspace with the desired set of tools and infrastructure and get to work.. Models can be easily deployed and automatically monitored. As a result, with Domino data scientists get to focus on creating powerful models, not recreating the wheel or DevOps.
During this demo we will explore how Domino helps organizations overcome three barriers to scaling data science:
- Infrastructure Friction
- Productionization Challenges
- Limited Collaboration
What the demo covers

Self Serve
Infrastructure
Learn about Domino’s powerful workbench capabilities that give data scientists self-serve access to the tools and infrastructure they need to accomplish the most challenging projects.

Collaboration &
Project Management
See how Domino enables teams of data scientists using different tools to seamlessly collaborate on a project, with the ability to leverage valuable insights, reproduce prior work, and harvest collective wisdom.

Model
Publishing
Learn the four different ways to turn models into end-user assets that can be used by anyone in an organization to make better decisions and transform the way their business operates.
Meet the speaker

John Posada, Senior Sales Engineer, Domino Data Lab
John Posada is a Senior Sales Engineer at Domino where he helps large companies in the Banking, Insurance, Pharma, and Manufacturing industry to improve their data science outcomes by providing value-based demonstrations and supporting enterprise proof of value. He previously worked as a Partner Solutions Architect with Dataiku, and also held different roles with Alteryx and analyst roles in a variety of industries.

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