#285 Getting Depth and Value From Generative AI – In Data Mesh and in General – Zhamak’s Corner 33

Key points:

  • Thus far, most of the generative AI stuff Zhamak has seen is not that much of a differentiator. They are doing far better chat bots but that hasn’t really changed the game.
  • When it comes to any ML work – and GenAI is just a subset of ML work – engineers need data products to make their data work easy. Reliable sources of data, ability to version, etc. Data mesh obviously plays well there.
  • Relatedly, we need to continue to make things easier for people to leverage data products for GenAI. Engineers shouldn’t have to spend all their time moving data around and using many systems.
  • GenAI really could be game changing in data mesh but right now we don’t have enough information to really do it well. We need far more metadata around things like data products.
  • GenAI often gives extremely shallow answers that just aren’t that helpful. If we can get better answers, amazing. But right now, it’s not there.

Sponsored by NextData, Zhamak’s company that is helping ease data product creation.

For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

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All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

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