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Data is an asset. Selling/sharing data has largely been solved, and hosted models exist (example: ChatGPT), but moving sensitive data across the public internet or across clouds is problematic. Sharing features (the result of feature engineering) can be monetized for new potential revenue streams. Sharing models can also be monetized while avoiding the transfer of sensitive data.

This session will walk through a few examples of how to share models and features to generate new revenue streams using Delta Sharing, MLflow, and Databricks

Talk by: Keith Anderson and Avinash Sooriyarachchi

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