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Synthetic Data for Machine Learning Models

Episode 7 with Adam Kamor from Tonic.ai

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Hello readers,

This is the first dedicated email for our AI For All Podcast! We’ve released 6 episodes so far and on Episode 7, we are joined by Adam Kamor from Tonic.ai to discuss synthetic data for machine learning models.

In This Episode

  • Structured vs unstructured data

  • Limits of synthetic data

  • Prompt engineering with synthetic data

  • Computer vision and digital twins

👀 Watch the Podcast

🎧 Listen

Guest

Adam Kamor

Adam Kamor is the co-founder and Head of Engineering at Tonic.ai. With a PhD in Physics from Georgia Tech, Adam has focused on developing programs to support others. He has experience in UI design and feature development at Microsoft and Kabbage and played a role in developing analytics capabilities at Tableau. As a founder of Tonic.ai, he is leading the development of data generation solutions that are transforming the work of developers, analysts, and data engineers.

Company

Tonic.ai

Tonic.ai is the fake data company. They mimic your production data to create de-identified, realistic, and safe data for your test environments.