Confidential AI: How Confidential Computing Opens New Opportunities for AI
Learn how new privacy-enhancing technology can unlock as-yet-untapped data sources — even sensitive ones — for AI and ML initiatives.
An AI/ML project’s potential depends on the ability to access and process data. Protecting data, especially sensitive and personal data, is essential. Demanded by customers and often legally required, data confidentiality by design is key to the success of AI/ML products.
In this event, we’ll explore how a ground-breaking privacy-enhancing technology — Confidential Computing — enables new use cases for AI and ML by unlocking as-yet-untapped data sources. And it does so without the need to change application code, reduce data utility, or invest in a large team of security and privacy experts.
If you’re interested in new business and technology opportunities that come from unlocking sensitive data for AI/ML, and how to stay compliant while developing AI/ML solutions, this event is for you.
In a nutshell, this event aims to:
Make sure to be on time for check-in, the downstairs reception desk closes after 6:15!
Speakers:
Thomas Strottner - VP Business Development at Edgeless Systems, cybersecurity company providing leading open-source software for confidential computing
Sebastian Gajek - CEO/CTO of Enclaive, confidential-computing-as-a-service company based in Berlin
Pierre Cholet - Head of Business Development at Decentriq, data clean room SaaS powered by Confidential Computing
Frederik Jelden - Customer Success Account Manager, Microsoft
Agenda
17:30 - 18:00 Check-in at Merantix AI campus, check-in closes at 6:15 sharp!
18:00 - 19:00 How Confidential Computing opens new possibilities for AI
19:00 - 19:30 Q&A on Confidential AI featuring Frederik Jelden, Customer Success Account Manager, Microsoft
19:30 - 21:00 Drinks & networking
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