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From Expectations to Synthetic Data Generation

Posted Aug 20
# Synthetic Data
# Leverage
# Data Management
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SPEAKER
Fabiana Clemente
Fabiana Clemente
Fabiana Clemente
Co-founder & Chief Data Officer @ YData

Fabiana has been leading data science teams in multinational companies and startups. She has an academic background in Applied Maths, and MSc in Data Management combined with other degrees in Deep Learning and Secure and Private AI. As YData’s Co-Founder & CDO, she combines Data Understanding, Causality, and Privacy as her main fields of work and research, with the mission to make data actionable for organizations.

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Fabiana has been leading data science teams in multinational companies and startups. She has an academic background in Applied Maths, and MSc in Data Management combined with other degrees in Deep Learning and Secure and Private AI. As YData’s Co-Founder & CDO, she combines Data Understanding, Causality, and Privacy as her main fields of work and research, with the mission to make data actionable for organizations.

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SUMMARY

Synthetic data is a hot topic in the current Data/ML space, being proposed as an essential feature in any Data Science toolkit. In a very hands-on approach, the objective is to showcase and depict how to generate synthetic data, deal with the challenges of leveraging deep learning networks for the process, and overcome them in a workflow that includes data profiling and the definition of expectations for the data generation.

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