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Unlocking AI with an Interoperable Data Mesh

Democratize Data Products

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Why attend: Data is often silo’d between various teams across an organization, spread across engines, clouds, regions and modalities. In this data mesh virtual event, we will show you how to break down silos by securely sharing data products by leveraging a data mesh architecture. 

Discover how to: 

  • Build a unified data mesh by securely connecting and governing data across clouds and regions 
  • Leverage open table formats like Apache Iceberg to enable bidirectional data sharing, without sacrificing governance 
  • Power AI and machine learning initiatives by using secure data sharing, Snowpark API, Snowflake Cortex and Horizon Catalog. 

Who should attend:

Data architects, data engineers and data leaders building collaborative strategies for more effective data sharing, faster time-to-market and cost efficiency.

Agenda

Learn how to create a unified, governed data mesh architecture across multiple modalities, engines, regions, and clouds, for true interoperability.

Join Snowflake and Immuta for a live demo showing how to create AI-ready data products and democratize access across your business, demonstrated by a real customer use case.

Speakers

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Mayur MahadeshwarSenior Partner Solution Engineer, Snowflake
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Steve TouwCTO, Immuta
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Gayathri RamamoorthyAssociate Director Data Engineering, AstraZeneca
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Amit GuptaData Cloud Architect, Snowflake
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Bob LyonsVP of Engineering, Medidata , part of Dassault Systèmes