Session

Hands-On Feature Store and Model Deployment with Splice Machine

Have you tried to put multiple ML models into production? Managing data sources, feature engineering pipelines, model development, and deployment endpoints is hard enough for one model, but it gets exponentially harder when you have multiple.

In this hands-on demonstration you will learn to use Splice Machine’s platform to build a feature store, train your favorite ML models on data from the feature store, and deploy your model as an intelligent table inside of our database.

We will go from raw data to deployed models in production with no duplicated engineering pipelines, no duplicate data, and no endpoints — but with full security, governance, and transparency.

The workshop will conclude with a modeling competition where the person with the most performant model can win some Splice Machine swag!

Session Speakers

Customer Data Scientist
Splice Machine
Founder and CEO
Splice Machine

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