RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

What’s a Global Data Clean Room and Why Should You Care?

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Tuesday, June 21, 2022

Time: 9:00 a.m. PT, 12:00 p.m. ET

Protecting user privacy has become an important issue for organizations. Regulatory requirements, new privacy laws, and customers’ lack of trust in the ethical use of their data are important factors that are driving the need to maintain the privacy of information. The result is sensitive data that organizations can’t share. Yet, collaborating on sensitive data is important for many organizations to create and deliver better products and experiences, or develop new remedies for emerging ailments. How is collaboration possible without sharing sensitive data?

Over the past few years, the idea of a data clean room has emerged. The data clean room is a secure environment where organizations can analyze data while still maintaining data privacy. These clean rooms can be accomplished a few different ways: for instance via cloud data platforms or third party providers.

Join TDWI and Snowflake in a fireside chat to learn more about global data clean rooms, what they are, and why you should care. Topics include:

  • What is a global data clean room? Why is it important?
  • How do global data clean rooms work?
  • Approaches to global data clean rooms
  • Examples of how global data clean rooms can be used across organizations

Guest Speakers

Travis Kaufman
Product Marketing
Snowflake

Travis Kaufman leads product marketing for Snowflake Collaboration and Marketplace. Prior to joining Snowflake, Travis held leadership roles in product, marketing, and partnerships at companies including Gainsight, Marketo and E*Trade Financial. He keeps himself busy chasing his three kids and coaching youth sports.

Justin Langseth
Technical Director
SnowCAT
Snowflake

Justin enjoys exploring and pushing the boundaries of what’s possible at the edge of data technologies, analytics, and AI. He has founded and led several companies in the areas of data warehousing, business intelligence, natural language processing, and augmented reality. Justin is an inventor on 44 technology patents. He graduated from MIT with a degree in management of information technologies.

Fern Halper, Ph.D.


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