Abstract

Microsoft Windows supports hundreds of millions of customers across numerous countries. In this talk, we will cover how data science and machine learning supports improvements to customer experiences with a focus on an end-to-end example on Windows updates. We will address the complexity of the space, challenges, illustrate techniques used and deployment of the techniques.

Speaker Bio

Archana Ramesh is a Principal Data Science Manager within the Windows + Devices organization. She has more than a decade of experience in working with data, conceptualizing, building and shipping ML solutions at scale. She has worked with multiple industries, gaining exposure to different types of data including genomics, healthcare, advertising and telemetry. Her academic background is a Ph.D. in Computer Science from Arizona State University where she focused on knowledge integration in large-scale biological networks. Her current focus area is towards improving the experience of Windows updates.