Monetizing Data Assets: Sharing Data, Models and Features
Description
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 Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc
Description from YouTube. Full content on the video page.
More from Databricks
NewsDatabricks for Good x MapAid: Creating a Searchable Database for Groundwater Discovery
MapAid is using Databricks to build an AI groundwater mapping system called Well Mapper that processes water documents to identify accurate well-drilling locations in Ethiopia, improving on the current 30% success rate. The system analyzes 400 well logs in half a second instead of four weeks, with potential to double Ethiopia's food supply through improved irrigation.
NewsHow Databricks Genie Automates Data Workflows with Genie Ontology and Scheduled Tasks
Databricks Genie enables ontology by default for business context and adds document/PDF uploads, direct Unity Catalog queries, and team collaboration features in chat. Scheduled tasks automate recurring workflows with embedded visualizations and PDF outputs accessible across web, desktop, and mobile platforms.
NewsGenie One Beginner's Guide: Explore Data & Automate Tasks
Genie One helps subject matter experts avoid repetitive questions by using business ontology to understand your data and run real-time queries that generate instant answers and shareable reports. The tool can also automate monitoring with conditional alerts that only notify you when specific business thresholds are met.
TutorialsHow to Schedule Automated Meeting Prep in Genie One
Genie One allows users to connect multiple data sources like Databricks tables and Google Calendar, then create analyses through natural language prompts to prepare for customer meetings. The platform can schedule these analyses to run automatically on a recurring basis and deliver results via email or mobile app.
TutorialsHow to Build Custom Skills in Genie One in Minutes
Genie 1 can populate business report templates by analyzing their format and running SQL queries against organizational data. Users can save these report workflows as reusable skills that execute with a single slash command, enabling automation of recurring reports.
TutorialsHow to Create & Share Polished Documents in Genie One
Genie One documents enable creation of polished reports with AI-generated narratives and interactive charts sourced from Databricks data. The feature supports real-time collaborative editing between users and Genie, sharing with team members for comments, and scheduling automated report generation.