
Sign up to save your podcasts
Or


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.

9,196 Listeners

4,056 Listeners

9,651 Listeners

554 Listeners

87,566 Listeners

112,234 Listeners

56,597 Listeners

2,352 Listeners

5,492 Listeners

58,243 Listeners

5,544 Listeners

16,230 Listeners

3,525 Listeners

169 Listeners

1,489 Listeners