Abstract: Open-source software is at the foundation of machine learning and there are numerous projects supporting various parts of machine learning lifecycle - from building to deploying and managing models. Join us to learn how Microsoft is investing across open source projects - both by starting new projects, like ONNX Runtime, InterpretML and FairLearn as well as contributing to existing projects, such as ONNX, DeepSpeed, and PyTorch. We'll also deep dive into some of our most recent work with PyTorch and share how organizations are using PyTorch on Azure to drive innovation.
Bio: John leads Program Management for Microsoft Azure AI and is responsible for designing products and services that data scientists and ML experts around the world love and use. He leads a team of program managers, researchers, and designers responsible for products and services including Azure Machine Learning, Azure Cognitive Services, ML.NET, and ONNX Runtime. Prior to this role, John has led the Program Management team for Microsoft’s Developer Division, including Visual Studio, Visual Studio Code, and Azure Notebooks. He has also held positions as director of marketing for Visual Studio, as well as a program manager for Microsoft’s participation in several standards organizations, including ISO, IETF, and ECMA.
Prior to joining Microsoft in 1998, John worked as a writer and editor for several computer and technology publications, including BYTE Magazine, PC/Computing, and Corporate Computing, as well as being the Chief Information Officer for Imagine Publishing.
Corporate Vice President, Program Management, AI Platform | Microsoft