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Synthesizing the Future with Fernando Lucini

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Manage episode 393677200 series 3546664
Content provided by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS 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://ppacc.player.fm/legal.

Fernando Lucini is the Global Data Science & ML Engineering Lead (aka Chief Data Scientist) at Accenture.

Fernando Lucini outlines common uses for AI generated synthetic data. He emphasizes that synthetic data is a facsimile – close, but not quite real - and debunks the notion it is inherently private. Kimberly and Fernando discuss the potential pitfalls in synthetic data sets, the emergent need for standard controls, and why ensuring quality - much less fairness - is not simple. Fernando assesses the current state of the synthetic data market and the work still to be done to enable broad-scale adoption. Tipping his hat to fabulous achievements such as GPT-3 and Dall-E, Fernando identifies multiple ways synthetic data can be used for good works and creative endeavors.

A transcript of this episode can be found here.

  continue reading

72 episodes

Artwork
iconShare
 
Manage episode 393677200 series 3546664
Content provided by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS 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://ppacc.player.fm/legal.

Fernando Lucini is the Global Data Science & ML Engineering Lead (aka Chief Data Scientist) at Accenture.

Fernando Lucini outlines common uses for AI generated synthetic data. He emphasizes that synthetic data is a facsimile – close, but not quite real - and debunks the notion it is inherently private. Kimberly and Fernando discuss the potential pitfalls in synthetic data sets, the emergent need for standard controls, and why ensuring quality - much less fairness - is not simple. Fernando assesses the current state of the synthetic data market and the work still to be done to enable broad-scale adoption. Tipping his hat to fabulous achievements such as GPT-3 and Dall-E, Fernando identifies multiple ways synthetic data can be used for good works and creative endeavors.

A transcript of this episode can be found here.

  continue reading

72 episodes

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