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Inside Snowflake's AI roadmap (w/ Chris Child)

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Manage episode 524131784 series 2954568
Content provided by dbt Labs, Inc. and Dbt Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by dbt Labs, Inc. and Dbt Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Snowflake VP of Product Management Chris Child joins Tristan Handy to unpack Snowflake's AI roadmap and what it means for data teams. They discuss the evolution from Snowpark to Cortex and Snowflake Intelligence, how to govern agents with row- and column-level controls, and why Snowflake is investing in Apache Iceberg and the Open Semantic Interchange initiative (dbt Labs recently open sourced MetricsFlow, the technology that powers the dbt Semantic Layer, to align with the goals of OSI). Chris also shares a vision for the next five years of data engineering: fewer bespoke pipelines, more standardization and semantics, and a bigger focus on business context and data products.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

  continue reading

84 episodes

Artwork
iconShare
 
Manage episode 524131784 series 2954568
Content provided by dbt Labs, Inc. and Dbt Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by dbt Labs, Inc. and Dbt Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Snowflake VP of Product Management Chris Child joins Tristan Handy to unpack Snowflake's AI roadmap and what it means for data teams. They discuss the evolution from Snowpark to Cortex and Snowflake Intelligence, how to govern agents with row- and column-level controls, and why Snowflake is investing in Apache Iceberg and the Open Semantic Interchange initiative (dbt Labs recently open sourced MetricsFlow, the technology that powers the dbt Semantic Layer, to align with the goals of OSI). Chris also shares a vision for the next five years of data engineering: fewer bespoke pipelines, more standardization and semantics, and a bigger focus on business context and data products.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

  continue reading

84 episodes

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