MLOps Virtual Event Standardizing MLOps at Scale
As organizations continue to develop their machine learning (ML) practice, there’s a growing need for robust and reliable platforms capable of handling the entire ML lifecycle. The emergence of MLOps is promising, but many challenges remain.
Join our interactive event to hear about the latest developments from Databricks geared toward automating MLOps — including new Git and CI/CD integrations, autologging of experiments, model explainability and model serving.
We’ll also cover:
- Best practices from domain experts to operationalize ML at scale, from experimentation to production
- A checklist of the capabilities you’ll need, common pitfalls, as well as technological and organizational challenges — and how to overcome them
- Presentations will be enhanced with demos, success stories and learnings from experts who have deployed these pipelines for predictive analytics. A live Q&A and discussion will keep this event engaging for data science practitioners and leaders alike.
Speaker and Presenter Information
Tristan Nixon, Solutions Architect, Databricks
Digan Parikh, Solutions Architect, Databricks
Relevant Government Agencies
Other Federal Agencies, Federal Government, State & Local Government
Event Type
Virtual
This event has no exhibitor/sponsor opportunities
When
Tue, Dec 14, 2021, 1:00pm
ET
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Organizer
Databricks