Dr. Rajesh Parekh
Director of Analytics
Tuesday 1:30pm – 3:30pm, Room 200D
Title: Designing AI at Scale to Power Everyday Life
The majority of the experiences and interactions people have on Facebook today are made possible with AI. Well over 1 billion people enjoy unique, personalized experiences on Facebook that are powered by a wealth of AI and machine learning algorithms. AI is an incredibly fast-moving field: engineers and researchers across the company are turning the latest research breakthroughs into tools, platforms, and infrastructure that make it possible for anyone at Facebook to use AI in the experiences and products they build. This talk will look at how Facebook is conducting and applying industry-leading research to help drive advancements in AI disciplines like computer vision, language understanding, speech and video. We will also talk about building an infrastructure that anyone at Facebook can use to easily reuse algorithms in different products, scale to run thousands of simultaneous custom experiments, and give concrete examples of how employees across the company are able to leverage these platforms to build new AI products and services.
Dr. Rajesh Parekh is Director of Analytics at Facebook. Applying big data analytics to solve challenging business problems and building empathy for the people who use Facebook’s products is his passion, and he has 20 years’ experience building and leading global data teams. Dr. Parekh leads analytics for Facebook’s Applied Machine Learning efforts, which involves using advanced data analytics to build state-of-the-art AI technologies that power a large variety of products across Facebook. Prior to Facebook, Dr. Parekh was the Vice President of Data Science at Groupon where he built products for large-scale personalization, sales-automation, and marketing optimization. He also worked at Yahoo Labs building display advertising targeting products, at Blue Martini Software developing data mining products for e-commerce, and at Allstate solving insurance problems like cross-sell, retention, and fraud. Dr. Parekh earned his Ph.D. in Computer Science specializing in Artificial Intelligence from Iowa State University. He is the founding the co-chair of the Applied Data Science Invited Talks track at the KDD conference and is currently serving as co-chair for the Applications track at the IEEE DSAA’2017 conference.