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

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Manage episode 394865806 series 3293786
Вміст надано Data as a Product Podcast Network. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Data as a Product Podcast Network або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

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.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Data Mesh Radio episode list and links to all available episode transcripts here.

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

  continue reading

422 епізодів

Artwork
iconПоширити
 
Manage episode 394865806 series 3293786
Вміст надано Data as a Product Podcast Network. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Data as a Product Podcast Network або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

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.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Data Mesh Radio episode list and links to all available episode transcripts here.

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

  continue reading

422 епізодів

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