Join us on June 30th at 12pm ET/9am PT for a free webinar about building a feature store for improved machine learning operations and learn:

  • How to create a feature store that is shareable
  • How to make low-latency lookups of the feature store in real-time at scale
  • How to maintain lineage for governance and auditability
  • Example use cases for feature stores

Panelists:

  • Monte Zweben, CEO and co-founder, Splice Machine
  • Kevin Northrup, Senior Director, Analytics and AI Strategy & Planning of CIBC Bank

Register Today!

The Key to Real-Time Machine Learning

Enterprise data science teams put a lot of effort into creating models and the features that power them. Models train on the features of a training data set to provide the true signal to predict. But in most organizations, features are rarely shared among data scientists and use cases. This duplicative work often results in fewer features available and a less scalable solution.

In this webinar, you'll learn about enabling real-time machine learning operations through a feature store, a central repository of curated data attributes within an organization that provides the input to machine learning models.

The webinar will feature Kevin Northrup, Senior Director, Analytics and AI Strategy & Planning of CIBC Bank, and Monte Zweben, co-founder and CEO of Splice Machine.

They will also get a live demo of the Splice Machine ML Manager and understand how it can be used as a feature store.