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: Geeta Chauhan is CTO with 25+ yrs. of expertise in building resilient, anti-fragile, large scale distributed platforms with 1B+ users for startups and Fortune 500s. Built and launched 17+ platforms and countless applications based on AI/Deep Learning, Cloud Computing, Blockchain, Internet of Things, Kubernetes and Mesos Clustering, Data pipelines for real-time and offline analytics, Software Defined Networking, Micro-services, Self-healing, Elastic Scaling.
Women in IT - CTO of the year 2019 award winner and a trusted advisor for Investment firms for Technology due diligence during merger and acquisitions and venture funding and led over a dozen due diligence projects across US and Europe.