The Gretel Epoch #2

Hello Friends —

Welcome back to The Gretel Epoch, your source for privacy engineering insights, product updates, educational content, upcoming events, and community news from Gretel.

From Zero to Synthetic in Sixty Seconds

New to synthetics? No problem! With Gretel, you’ll be synthesizing data in 60 seconds flat before you know it. If you’re ready to tackle a specific use case like data anonymization, privacy engineering, or data balancing, then you’ll love Gretel Blueprints — readymade collections of sample code and datasets that can be adapted to solve various tasks in healthcare and life sciences, finance, gaming, and more!

New Tutorial: Setting up a box for deep learning

In this brief video, Gretel CPO and co-founder Alex Watson runs through a complete end-to-end example of setting up a deep learning box for training synthetic models inside your own environment. This is the first video in a 4-part series we’re rolling out. Next week, we’ll get you started with end-to-end training on your local box with Gretel’s SDKs. Subscribe to our YouTube channel so you don’t miss it!

Gretel ‘in the Wild’

We love meeting with developers and other community members in person, which is why we were so excited to have Gretel’s machine learning scientist Daniel Nissani present at this year’s largest and best NGO tech event, the NetHope Global Summit. It was a great opportunity to highlight synthetic data’s potential for social good.

We’re equally thrilled to have our CTO and co-founder John Myers hitting the stage at next week’s AI Summit in New York! John will be sharing his perspective with business leaders and technical and developer teams on the value of privacy-preserving, high-quality synthetic data to unlock innovation. If you plan on attending the event, stop by the Scaling Intelligence stage on Thursday, December 9 at 2:15 PM ET to say hello and watch the presentation live.

ICYMI

• For answers to many fundamental questions on the emerging topic of privacy engineering, listen to this lively discussion of Hashmap on Tap Podcast featuring Danielle Beringer, Gretel’s Director of Technical Partnerships.
• The Center for Data Innovation asked Gretel’s CTO John Myers about some of the technology used in privacy engineering along with its benefits and drawbacks. Here’s John on the critical role developers play in protecting privacy: “We orient around serving developers because they are on the “front lines” of solving an organization’s most challenging problems, which almost always is data-centric. This also means that developers are on the front lines of privacy.”
• Last week, Gretel’s senior applied scientist, Lipika Ramaswamy, published an article in Towards Data Science that clarifies some common misconceptions about differential privacy and what it guarantees.
• Lipika was also recently featured in a post, alongside Gretel’s principal machine learning scientist, Amy Steier, that highlighted some of the brilliant women who are pioneering the use of synthetic data technology. You can get to know a bit about Amy, Lipika, and the rest of this esteemed group, and reach out to them if you’re interested in their work!

Looking for a Meaningful Career in Technology?

We’re hiring for 20+ jobs, so if you or someone you know shares our vision of a future where anyone can safely share, access, and build with data, come join us!

Thanks for sharing your time with us. As always, please reach out with any questions or feedback to community@gretel.ai or say hello on our social channels. We’d love to hear from you!

Cheers,
The Gretel Team

About Gretel.ai

Gretel pioneered Privacy Engineering as a Service and a toolkit for synthetic data that features easy-to-use APIs and an open-source AI-based core, built for developers.