Trends and Applications of AI/ML and Analytics in Sports
This overview talk will be about sports analytics and using AI/ML for player performance, business operations, and recruitment statistics.
Sports analytics is the study of sports statistics; which includes aspects of athletics such as player performance; business operations; and recruitment. Sports associations benefit from the use of statistics in competitions. The study of sports through the lens of quantitative and statistical principles is known as sports analytics. On-field analytics are separated from off-field analytics. Using on-field analytics; players and coaches can improve their tactics and physical fitness. Off-field analytics makes use of statistics to assist sport enterprises' management in making decisions that lead to greater economic profitability and growth.
What are the trends in Sports Analytics?
Conventional Methods: Statistical modelling on Historical data / On-field data
Current trends: Computer Vision – Visual data analytics; Machine and Deep Learning models for Forecasting the player / team performance; posture recognition; correction; fitness levels assessments etc.
Speaker:
Dr Rajesh Kumar K V, currently working as Assistant Professor, AI Research Centre, School of Business - in the Business Analytics area, Woxsen University, Hyderabad, India. He is holding Chair Professor of France Belanger of Information Systems. He is serving as Co-Chairperson of the Centre of Excellence – Sports Analytics and Management and also he is Advertflair Chair Professor in Marketing and Advertising (AI Projects). He has earned his M. Tech in Embedded Systems from JNTU, Kakinada, and AMIE in ECE from the Institution of Engineers, Kolkata. He has done his research and Ph.D., at VIT University, Chennai. He was earlier associated with DRDO - DIPAS govt of India as a Junior Research Fellow and upGrad Educational Private Limited where he was guiding students in selecting research problems and in writing a thesis, to deal with AI/ML models, for those who are pursuing M.Sc. in Data Science / AI ML courses from LIVERPOOL JOHN MOORES University through upGrad. His research specialization is Human Computer Interface based signal Data Analytics for Bio-Medical Applications, Machine, and Deep Learning, and Business Analytics. He is a reviewer for the American Journal of Artificial Intelligence. In 2022 he presented a talk at Data Con LA+ IM Data 2022 conference, US- California on sports analytics. Significantly his research was accepted to present at ICRA 2023-UK which is a workshop on Computer Vision for Wearable Robotics by Harvard University.
