AI in Action E524: Sujoy Ganguly, Chief Technology Officer at Sports Info Solutions

Welcome to episode 524 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Sujoy Ganguly, Chief Technology Officer at Sports Info Solutions. SIS was founded on the belief that decision making in sports could be improved and that they could help teams win more games through the use of better data, analytics and technology. That belief has been validated repeatedly since their founding in 2002 as SIS continue to revolutionize the way the game is played on and off the field. It is their mission to enrich and optimize the decision-making process for sports teams, sportsbooks and sports fans.

SIS are proud to become leaders in collecting, analyzing and distributing the deepest data sets and insights to professional sports teams across the MLB, NBA and NFL. The company has evolved to include former professional and collegiate athletes, coaches and scouts, alongside their best in class technology and research analysts. SIS are now doubling down on what’s made them successful by further advancing their data, technology, insights and partners as they drive forward the next innovations in Sports Data and Analytics.

In this episode, Sujoy discusses:

His background from academia to AI and Computer Vision in sport

How SIS transformed from Baseball Info Solutions to AI-driven analytics

Using AI to contextualize raw NBA tracking data into detailed game insights

An insight into how the team processes and deploys sports data with AI

Why specialized sports data complexity limits model utilization

Emerging areas from real-time decision-making, injury prevention & granular data analysis

What makes Sports Info Solutions a great place to work

Why Data engineering and model reusability are critical for scaling

To find out more about all the great work happening within Sports Info Solutions, check out the website www.sportsinfosolutions.com or follow them on LinkedIn, Instagram and X @SportsInfo_SIS. You can also connect with Sujoy directly on LinkedIn.

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