How can you know who is richer without revealing their wealth?
Keynote Outline
Today it is easier than ever to collaborate around data between organizations and use that data for AI/ML driven solutions. However, we also have increasing privacy requirements that makes it in reality very challenging to share data that is related to those requirements. An example of this challenge is Yao’s Millionaires’ problem, which is about two millionaires who are interested in knowing who of them is richer without revealing their actual wealth. In this keynote I will walk you through how these challenges can be solved in a way that enables you to use and share more data without scarifying governance and security.
Key takeaways
How to do privacy-safe data collaboration to fuel targeting audience enrichment, insights, measurement & machine learning How to allow data owners to define rules about what questions can be answered using their data without exposing the underlying data
Keynote Speaker Bio
Mats Stellwall is working at Snowflake as a Field CTO where he advises customers on Data Science with Snowflake. He has been working with analytics and information centric systems since the mid nineties in various roles.
