How do you unlock the full value of sensitive data — without breaking privacy rules or contractual obligations?
In this deep-dive session, Nikhil Gaekwad (Product Lead @ Databricks) and John Sullivan (VP GTM @ MOSTLY AI) explore how Databricks Cleanrooms combined with the MOSTLY AI Synthetic Data SDK enable secure, high-fidelity data collaboration across organizational boundaries.
💡 What you’ll learn in this video:
• What a clean room is and how Databricks has built on its “third-mover advantage”
• How to collaborate with partners on sensitive datasets without sharing raw data
• Why synthetic data is key for regulated industries and cross-industry data sharing
• A step-by-step demo: Using Databricks Cleanrooms with the open-source MOSTLY AI SDK to join datasets from two companies (Bank A + Insurance B) and generate privacy-safe synthetic data
📌 Try it yourself:
• MOSTLY AI Platform: https://app.mostly.ai
• MOSTLY AI SDK (Open Source): https://mostly.ai/synthetic-data-sdk
• Learn more: https://mostly.ai/blog/accelerating-data-innovation-with-mostly-ais-genai-synthetic-data-platform-and-databricks
#SyntheticData #Databricks #CleanRooms #DataCollaboration #DataPrivacy #DeltaSharing #AIethics #PrivacyTech #RegTech #DataSecurity #MOSTLYAI #OpenSourceAI