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AI and Data Mesh: Enabling Data Governance at Scale

About this event


Data Mesh and AI have each massively transformed how teams approach data within their organizations. However, both of these topics raise questions around data governance — how do you orchestrate a system that keeps innovation, security, and privacy in perfect balance?

Join Snowflake and CastorDoc for a panel discussion covering key strategies for data leaders to responsibly implement a Data Mesh architecture while leveraging AI. From practical use cases to proven methodologies, you will learn how to navigate the convergence of AI and Data Mesh with confidence.


  1. Understand the transformative impact of AI in Data Mesh and its implications for businesses.
  2. Learn how to navigate data privacy and security concerns that come with implementation.
  3. Discover best practices for integrating AI, automation, and self-service capabilities within your Data Mesh framework.

Hosted by

  • Guest speaker
    Seth Youssef Field CTO @ Snowflake

    Seth has over 20 years experience in the field of Cybersecurity and is based in Paris, France. He has previously worked as cybersecurity and networking subject matter expert with Cisco, Fortinet, and Cyberprood, in which he covered both public sector, large customer accounts, and built security operation centers across EMEA. In August 2020, Seth joined Snowflake and is currently working as Security Field CTO EMEA, focussing on the security, security data lake, and data governance capabilities of Snowflake Data Cloud. In July 2021, Seth completed Executive MBA From HEC Paris Business School, where he pursued his passion for positioning data and security as a business enabler.

  • Guest speaker
    Tristan Mayer Co-Founder and CEO @ Castor

    Tristan Mayer is the Co-Founder and CEO of Castor, a smart data catalog that helps companies improve their data experience through data discovery, community, and health. Prior to Castor, Tristan was a data scientist himself, giving him a first-hand understanding of the challenges that data teams face when trying to find, understand, and use their data. Tristan holds a Master's in Data Science for Business in a joint degree from École Polytechnique and HEC Paris.


A data catalog designed for collective intelligence

CastorDoc is a the modern data catalog built to harness collective intelligence, so everyone on your team can easily find, understand, and trust your data.