STATS’ Artificial Intelligence Team to Speak About Future of Tracking Data at MIT Sloan Sports Analytics Conference

STATS, the worldwide leader in sports data and intelligence, has expanded its presence at this year’s MIT Sloan Sports and Analytics Conference (SSAC), announcing that Dr. Patrick Lucey, vice president of artificial intelligence (AI), and Sujoy Ganguly, head of computer vision, will be speaking on a panel and competitive advantage presentation.

CHICAGO--(BUSINESS WIRE)-- STATS, the worldwide leader in sports data and intelligence, has expanded its presence at this year’s MIT Sloan Sports and Analytics Conference (SSAC), announcing that Dr. Patrick Lucey, vice president of artificial intelligence (AI), and Sujoy Ganguly, head of computer vision, will be speaking on a panel and competitive advantage presentation.

Founded in 2006, MIT SSAC has grown to become one of the premier showcases in the industry, with over 3,500 in attendance at last year’s event. The sold-out conference will take place March 1-2 at the Hynes Convention Center in Boston, Mass.

STATS is sponsoring the panel, “Unlocking the Potential: The Next Generation of Tracking Data,” and Dr. Lucey will participate in a discussion about the evolution of tracking data, what it will mean for sports, and how teams, leagues, media and fans will benefit from the next generation and scale of data being captured. The panel will take place on Saturday, March 2 from 10:15 a.m. – 11:15 a.m. in the Pat Summit room. Lucey will be joined on stage by moderator Shira Springer, sports and society reporter for NPR and WBUR; Kirk Goldsberry, NBA analyst for ESPN; Rachel Marty Pyke, data scientist at Noah Basketball; and Chris Capuano, former MLB pitcher.

Shortly after the completion of the panel, Ganguly will present, “Going Beyond Tracking Data: Using Body-Pose for Next Generation Analytics,” in the Competitive Advantage West room from 12:00-12:30 p.m. The presentation will provide an in-depth look at AutoSTATS, the revolutionary new AI-powered technology STATS announced earlier this week, that delivers comprehensive player-tracking data directly from video through patented computer vision technology. Ganguly will discuss how using OpenPose—a product manufactured under license from Carnegie Mellon University—to track players directly from broadcast video will expand the availability of tracking data, as well as deepen the quality of data by providing human pose estimation.

“We are thrilled to join the leaders of our industry to take an in-depth look at the trends and issues shaping sports,” said Dr. Lucey. “Just this week, STATS announced a new deal with the Orlando Magic to use our brand-new technology, AutoSTATS, which collects an enormous amount of tracking data directly from broadcast video and eliminates the need for traditional in-house optical tracking solutions. With AutoSTATS, we can collect data from any current or historical game broadcast and share it with teams, leagues, media, brands and fans to give deeper meaning to the sports we love. I couldn’t think of a better place to share more detail than MIT SSAC.”

For more information about STATS’ AI team, visit: https://www.stats.com/artificial-intelligence/.

About STATS

STATS is the global leader in sports intelligence, operating at the intersection of sports and technology. The world’s most innovative brands, technology companies, leagues and dozens of world championship teams trust STATS to find their winning edge. STATS combines the industry’s fastest and most accurate data platform with video analysis, sports content and research, player tracking, and the latest in artificial intelligence (AI) and machine learning to provide unparalleled media and team performance solutions. The pioneer of live sports data, STATS continues to speed innovation in the industry with STATS Edge™, the first-ever team performance solution powered by AI. For more information, go to www.stats.com and follow STATS on Twitter @STATS_Insights.

Contacts

Reed Findlay
+1-847-583-2642
mediarelations@stats.com

Source: STATS

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