Amit Bagga

Amit Bagga

Job Title: VP AI/ML R&D

Company: Comcast

Amit Bagga serves as Vice President of Research and Development at Comcast. In this capacity, Amit manages the AI/ML Center of Excellence for Comcast that develops algorithms using Artificial Intelligence and Machine Learning techniques for applications and products. In addition, Amit manages Comcast’s Voice Remote team from hardware design to software including both product and engineering. The work done by Amit’s teams has been instrumental in Comcast winning two technical Emmy awards, the first for Personalization in 2014, and the second for the Voice Remote in 2017. Amit joined Comcast in 2007 as Senior Director of Research.

Prior to joining Comcast, Amit spent four years at, most recently as Sr. Manager of Search. During his tenure at, Amit helped lead the Relevance, NLP, and Vertical Search groups. Prior to joining, Amit worked as a Research Scientist first at GE’s Global Research Labs and then at Avaya Labs Research conducting research in multimedia technologies.

Amit holds a Bachelor of Science in Computer Science and Mathematics from Manhattanville College and a Ph.D. in Computer Science from Duke University. Amit has authored approximately 50 technical publications and papers, given numerous invited talks at conferences and workshops worldwide, has been awarded 5 patents, and is the co-author of an additional 7 patent applications.

Speaking at the following:

10.30am - 11.00am
Panel Discussion: Building a Successful Data Science & AI Function for Right Now & The Future

• The first 90 days and beyond – identifying short terms wins and long term goals • Structuring for success – what form should your function take for best results? • Cementing your place within the C Suite – how can you avoid the perception of being a short-term, fashionable appointment?

12.30pm - 1.00pm
Keynote Presentation: Setting up Comcast’s AI/ML COE: Lessons Learned from a Ten-Year Journey.

• The origins of this recently formed COE stem from the acquisition of a small start-up more than ten years ago • This talk will focus on the journey of this startup from acquisition to becoming the COE for AI/ML and the lessons learned along the way