Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project.
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OpenMined is an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving, value-aligned artificial intelligence. Andrew and I caught up back at NeurIPS to dig into why OpenMined is important and explore some of the basic research and technologies supporting Private, Decentralized Data Science. We touch on ideas such as Differential Privacy, and Secure Multi-Party Computation, and how these ideas come into play in, for example, federated learning.
Join me at Pegaworld!
We’d like to join Pegasystems, who is sponsoring today’s episode, in inviting you to meet meat the MGM Grand in Las Vegas June 2nd-5th at PegaWorld, the company’s annual digital transformation conference.
Pegasystems puts AI at the center of its customer engagement software so that it optimizes every customer touchpoint on every channel in real time. That way each interaction is relevant and timely to each individual customer, no matter if it’s a sales call, a digital marketing campaign or a customer service chat either online or in-store, and the system always learning in real-time to make the next interaction better.
Pegas customers are the real stars at PegaWorld. There you’ll hear great stories of AI applied to the customer experience at real Pega customers. The event is a great way to learn from a who’s who of the Fortune 500, and of course, I’ll be there and speaking as well.
To register, visit pegaworld.com and use the promo code TWIML19 when you sign up for $200 off. Again that’s TWIML19. It’s as easy at that. Hope to see you there!
The O’Reilly Artificial Intelligence Conference is returning to New York in April and we have one FREE conference pass for a lucky listener! To enter:
- First: Go to twimlai.com/ainygiveaway to access the entry form.
- Next: Choose any or all of the nine ways to enter. The more entries you earn, the higher your chances to win!
- For 3 bonus entries, answer the question at the bottom of the entry box!
Mentioned in the Interview
- Paper: Communication-Efficient Learning of Deep Networks from Decentralized Data
- Homomorphic Encryption
- Check out all of our great series from 2018 at the TWiML Presents: Series page!
- TWiML Online Meetup
- Register for the TWiML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0