About

Alexandre Bustamante

Throughout my career, I’ve been at the intersection of sports technology, product innovation, operational leadership, and strategic growth. I co-founded and scaled a company that used computer vision to automate sports production, leading engineering, operations and product teams, expanding it into a global company. During that period, while working with major sports leagues, I was also deeply involved with implementing solutions for live streaming with top-tier broadcasters.
More recently at ShotQuality, I lead a global team of 100 across Engineering CV/AI, Devops, Operations and Logging. We perform unique data extraction with CV/AI & LLMs for basketball, football, baseball and tennis.

Anthony Cioppa

Anthony Cioppa is an Assistant Professor at the University of Liège (ULiège) in Belgium. He earned his Master’s degree in Electrical Engineering in 2017 and later completed his PhD in 2020 in computer vision and artificial intelligence at ULiège, supported by the FNRS. Following his PhD, he was awarded a three-year postdoctoral grant by the FNRS, during which he spent a year in 2023 as a visiting postdoctoral researcher at King Abdullah University of Science and Technology (KAUST), working under the supervision of Prof. Marc Van Droogenbroeck and Prof. Bernard Ghanem. His research focuses on computer vision, video analysis using AI, real-time processing, and video understanding. He is also actively involved in organizing international AI challenges. Finally, he also co-organizes the yearly CVsports workshop at the CVPR conference.

Silvio Giancola

Silvio Giancola is a research scientist at KAUST, specializing in artificial intelligence and computer vision for sports. His work spans video and 3D understanding, combining foundational deep learning research with real-world applications in sports. He has published over 50 papers in top-tier venues and leads the SoccerNet project, a benchmark for soccer broadcast analysis. Silvio also organizes conference workshops, serves in editorial roles for major journals, and collaborates with industry partners on AI tools for medical, refereeing, broadcasting and analytics applications in sports.

Mission Statement

At SportsAI, our mission is to bridge the gap between sports and technology, inspiring curiosity and understanding about the innovations shaping the future of sports. We explore how artificial intelligence and computer vision are transforming everything from refereeing and broadcasting to player performance and fan engagement.

Through in-depth discussions, expert insights, and references to cutting-edge research, we aim to deliver engaging and informative content for sports enthusiasts, technologists, and industry professionals alike. Whether you're a fan of the game or the tech driving it, SportsAI is your gateway to discovering the exciting intersection of sports and innovation.

Technology Focus

At SportsAI, we shine a spotlight on the cutting-edge technologies revolutionizing the sports industry. From computer vision to artificial intelligence, our episodes dive deep into the tools and techniques driving advancements in:

Refereeing: Automated decision-making systems, offside detection, and foul analysis.
Broadcasting: Enhancing viewer experiences with AI-driven highlights, virtual replays, and augmented reality.
Player and Team Analysis: Tracking, performance metrics, and biomechanical insights to improve strategies and reduce injuries.
Scouting and Recruitment: Identifying talent with data-driven evaluations and predictive analytics.
Fan Engagement: AI-powered interactive content, personalized experiences, and dynamic storytelling.
Sports Betting: Leveraging machine learning for fair play and accurate predictions.

By examining how AI and computer vision solve real-world challenges in sports, we bring clarity to their impact and showcase the future possibilities. Join us as we explore the intersection of innovation and athletics, one breakthrough at a time.

Page updated

Google Sites

Report abuse