Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.

Keynote: Neel Sundaresan

Neel Sundaresan


From Code to Data: AI at Scale for Developer Productivity

The last decade has seen three great phenomena in computing – the rebirth of AI algorithms and AI hardware; the evolution of cloud computing and distributed software development; and the explosive growth of open source software that has led to the availability of code as data, and its associated metadata, at scale. In this talk, we will describe how we take advantage of innovations in these dimensions to improve developer productivity and infuse AI and automation into software processes. We will discuss examples of how we built intelligent software by creating AI algorithms driven by deep understanding of code as data. In addition, we will talk about how data can also be treated as code for the next-generation AI-infused software development.

Neel Sundaresan is a Partner Director of Data & AI for the Developer division of Microsoft’s Cloud and AI organization. Prior to Microsoft he was a Sr director of eBay Research and Data Labs. He was research manager at the IBM Almaden Research Center and also was a founder CTO of a Network CRM company. In his career he has led work in diverse areas from Compilers and program generators, Parallel and distributed computing Internet Search and Commerce, and AI-driven software systems. He has built and scaled organizations from scratch with diverse talent in engineering, machine learning, and economics. He has over a 100 publications that spans areas from computer science to economics. He has over 170 patents to his name and is a frequent speaker at technical conferences. He is passionate about providing educational and career access for the financially disadvantaged students and has founded a successful program called Inspire!. He has an undergraduate in mathematics and a masters and a PhD in computer science from IIT (Mumbai) and Indiana University, respectively.

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