Fostering AI Innovations Through Open Source Projects


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.


Emma Ning is a Senior Product Manager in the AI Framework team under Microsoft Cloud + AI Group, focusing on AI model operationalization and acceleration with ONNX/ONNX Runtime for open and interoperable AI. She has more than five years of product experience in search engines taking advantage of machine learning techniques and spent more than three years exploring AI adoption among various businesses. She is passionate about bringing AI solutions to solve business problems as well as enhancing product experience.

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