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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.
By Kimberly Nevala, Strategic Advisor - SAS4.8
1919 ratings
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.

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