SciSports is a rapidly growing sports analytics company that is revolutionizing the sports industry with its innovative use of artificial intelligence (AI). The Dutch-based company specializes in using advanced analytics and machine learning algorithms to extract valuable insights from vast amounts of data, enabling coaches and managers to make better decisions.
Founded in 2013, SciSports is now a leading provider of football data intelligence to over 100 professional football organizations worldwide, ranging from clubs, leagues, federations, agencies, and media & entertainment companies.
SciSports’ AI software platform provides a range of services that can help teams make better decisions, improve player performance. These services include player scouting, performance analysis, and tactical insights. By analyzing a player’s performance and other factors, the platform facilitates data-driven decision making, providing a valuable tool for amongst others teams when making transfer decisions.
As part of the Tuples project, SciSports will contribute its expertise in extracting actionable insights from football data, translating real-world challenges into research problems, and explaining complex solutions to end-users. The company will support the project with a total of 28.5 person-months from members of its Data Science team. SciSports will lead both the Football Squad Management’s use case and the consortium’s Data Management.
Its expertise and contributions to the Tuples project demonstrate its commitment to advancing the field of AI and using data intelligence to drive better decision-making and performance outcomes.
See SciSports contribution in the TUPLES’ project in detail here.
SciSports use case here.
Online collaboration is working fine but sometimes meeting face to face is really a good thing. So we did it for the third time in KU Leuven.
We are part of a broader community of research and development efforts dedicated to advancing AI in a responsible and human-centered manner.
FAI Group, part of the Saarland Informatics Campus, contribution to the TUPLES project and ongoing research efforts in the foundations of AI are significant steps forward in advancing our understanding of this technology and ensuring its safe and responsible use in the future.
We are very pleased to announce that our coordinator, Sylvie Thiebaux, is at the prestigious IJCAI23 conference both as Area Chair and as presenter of the paper "Formal Explanations of Neural Network Policies for Planning".