Privacy-Aware Data Collaboration with Snowflake and Skyflow
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Key takeaways
- How to enable interoperability without exposing raw sensitive data
- How to build and deploy AI agents and workflows without risking data breaches
- How to strengthen patient and customer engagement and ensure regulatory compliance
- How to accelerate research and AI innovation without compromising security
Session Description
The challenge of protecting sensitive data, like PII, PHI, and genomic data, while enabling secure data collaboration has never been greater. As organizations invest in interoperability to improve outcomes and experiences, they must adopt a modern, privacy-first data architecture that ensures both security and usability.
In this session, Skyflow Chief Product Officer Amruta Moktali and Snowflake’s Global Industry Principal for Healthcare and Life Sciences Lisa Arbogast discuss how combining Skyflow’s vault-based data privacy model with the Snowflake AI Data Cloud empowers organizations to:
Speakers
Lisa Arbogast
Amruta Moktali
"We were able to successfully deploy Skyflow in less than three weeks with the zero-trust vault architecture, and our total cost of ownership decreased by 67%."
Nitin Shingate
CTO, GoodRx
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