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The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turck)

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Manage episode 411086409 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://player.fm/legal.

Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it’s the Machine Learning, AI & Data (MAD) Landscape.

The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, “Those two waves are intimately related. A core idea of the MAD Landscape every year has been to show the symbiotic relationship between data infrastructure, analytics/BI, ML/AI, and applications.”

Matt and Tristan discuss themes in Matt's post: generative AI’s impact on data analytics, the modern AI stack compared to the modern data stack, and Databricks vs. Snowflake (plus Microsoft Fabric).

For full show notes and to read 7+ 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

63 episodes

Artwork
iconShare
 
Manage episode 411086409 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://player.fm/legal.

Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it’s the Machine Learning, AI & Data (MAD) Landscape.

The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, “Those two waves are intimately related. A core idea of the MAD Landscape every year has been to show the symbiotic relationship between data infrastructure, analytics/BI, ML/AI, and applications.”

Matt and Tristan discuss themes in Matt's post: generative AI’s impact on data analytics, the modern AI stack compared to the modern data stack, and Databricks vs. Snowflake (plus Microsoft Fabric).

For full show notes and to read 7+ 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

63 episodes

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