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General

Data for AI

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About this Podcast:

Data for AI is the podcast from the Data for AI community: practitioners building the data layer AI runs on, from open lakehouses and catalogs to vectors, graphs, and multimodal data. Long-form conversations with the people building this stuff, podcast-only, plus selected meetup talks on semantic layers, metadata and catalogs, Apache Iceberg, knowledge graphs, vector search, RAG, streaming, and agents. Produced by Datastrato, the original creator of Apache Gravitino. Sponsored by Neo4j. YouTube: youtube.com/@data-for-ai Discord: datastrato.ai/discord Meetup: lu.ma/dataforai

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Public web form

Booking probability

36%

Guest openness

Selective

80/100
Required Score

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Questions about Data for AI

What is Data for AI about?

Data for AI is the podcast from the Data for AI community: practitioners building the data layer AI runs on, from open lakehouses and catalogs to vectors, graphs, and multimodal data. Long-form conversations with the people building this stuff, podcast-only, plus selected meetup talks on semantic layers, metadata and catalogs, Apache Iceberg, knowledge graphs, vector search, RAG, streaming, and agents.

How hard is it to get booked on Data for AI?

Booking probability for Data for AI is 36%, and the host is rated Selective on guests. Data for AI requires a Pod Score of 80 or higher. Data for AI's contact route on record: public web form.

Who should pitch Data for AI?

The strongest fits for Data for AI are IT Services & Software Development.

About the host

Data for AI is a general podcast.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Episode #1

    Scott Haines (Part 2): Catalogs, 450 shades of red, and why governance has to be open

    Oct 4, 202622 minS0

    <p>Nike had 450 different reds. University Red, Jordan Red, and 448 more. Query for "red shoes" and you either hit a graph database of colors first or you scan every string value in the column. Scott Haines spent years...

  • Data for AI

    Scott Haines (Part 1): Storm, Spark, Delta Lake, and why he still writes code by hand

    Sep 25, 202627 minS0

    <p>Scott Haines spent 25 years building real-time systems at Yahoo, Twilio, and Nike. Seven months ago he stopped, and started teaching instead. This is a conversation about what that trade costs.</p><p><br...

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