The Untapped Potential of Synthetic Data for Data Scientists | Mockaroo + Tonic

Struggling to access quality data for your data science needs? Whether you need to perform complex analytics or elaborate ML modeling, you’ve probably experienced that particular pain of simply not having enough of the data you need—or sometimes, not having access to any data at all. If prod is off-limits or the existing data you have is biased, what’s an enterprising data scientist to do?

Whether you want to synthesize quality data based on existing data or build it from scratch, we have a solution for you. 

On November 16th, at 10:00 AM PT, Mockaroo CTO and founder Mark Brocato, will join Co-founder and Head of Engineering Adam Kamor and Product Marketing Manager Chiara Colombi of Tonic.ai to discuss the use cases of synthetic data for data scientists!

We’ll cover…

• Diverse approaches to generating net-new data via advanced data synthesis
• How to capture complex relationships across columns, between interdependent rows, and more with Djinn for data scientists. 
• How to seed conditional models with the demographic distributions you need, for the finest augmented data around. 
• …and more!

This is synthetic data like you’ve never seen before. Join us on November 16th to check it out!