Protecting Sensitive Data and Models for Machine Learning by Jason Mancuso @ Cape Privacy

There is great opportunity to improve your business (even the world) with the application of machine learning. But there are legitimate concerns around protecting AI intellectual property, as well as confidentiality when the data is sensitive. We’ll demonstrate how to perform predictions on encrypted data inside secure enclaves, so that both the data and the model remain protected at all times — even during processing. You’ll get to learn how to do this based on end-to-end encryption, and confidential computing

The 5th annual Python Web Conf (#PWC2023) inspired attendees to use technology for good. The conference attracted 315 attendees from over 30 countries across 15 time zones. The highly engaging format featured 70 speakers, 5 tracks (including 64 talks and 5 tutorials) and took place virtually on March 13-17, 2023 on LoudSwarm by Six Feet Up.

More information about the conference can be found at: https://2023.pythonwebconf.com