Why Synthetic Data Is Key to the Future of Secure AI Collaboration

How do you collaborate on valuable data without exposing sensitive or proprietary information?

Nikhil Gaekwad, Product Lead at Databricks, explains why synthetic data is becoming a key enabler for:
• Sharing proprietary datasets securely across organizational boundaries
• Maintaining contractual and regulatory compliance
• Enabling collaboration through Delta Sharing and data clean rooms
• Powering AI use cases in regulated industries safely

💡 Hear how synthetic data is shaping the future of secure AI collaboration.

👉 Learn more: https://mostly.ai/blog/accelerating-data-innovation-with-mostly-ais-genai-synthetic-data-platform-and-databricks
💻 Try the platform: https://app.mostly.ai
🧰 Explore the SDK: https://mostly.ai/synthetic-data-sdk

#SyntheticData #Databricks #DataCollaboration #DataSharing #AIethics #DataCleanRooms #PrivacyTech #RegTech #AIInnovation #mostlyai