Title: Microsoft’s AI Infrastructure Innovations
Abstract:
Training advanced deep learning models can be challenging. Large models can provide better accuracy but can be difficult to train because of the time cost and the complexity of code integration, plus it requires a massive-scale infrastructure. In this session, Mark Russinovich will share how Microsoft designs and improves our AI infrastructure and system software to serve both our internal teams and customers. Furthermore, Mark will share a future trend we see in the emergence of ML confidential computing for both data privacy and compliance requirements from many industries.
Bio:
Mark Russinovich is Chief Technology Officer and Technical Fellow for Microsoft Azure, Microsoft’s global enterprise-grade cloud platform. A widely recognized expert in distributed systems, operating systems and cybersecurity, Mark earned a Ph.D. in computer engineering from Carnegie Mellon University. He later co-founded Winternals Software, joining Microsoft in 2006 when the company was acquired. Mark is a popular speaker at industry conferences such as Microsoft Ignite, Microsoft Build, and RSA Conference. He has authored several nonfiction and fiction books, including the Microsoft Press Windows Internals book series, Troubleshooting with the Sysinternals Tools, as well as fictional cyber security thrillers Zero Day, Trojan Horse and Rogue Code.