In this episode of our AI in Sports series, I’m joined by Sinead Flahive, data scientist at Dublin, Ireland based Kitman Labs.
Subscribe: iTunes / Google Play / Spotify / RSS
Sinead joined me to discuss Kitman’s Athlete Optimization System, which allows sports trainers and coaches to collect and analyze data for player performance optimization and injury reduction. In our conversation, we take a look at the different ways this data is collected and analyzed, and the various modeling techniques Sinead and her team use to create player insights for coaches and trainers. Sinead also shares her view of the data-driven sports landscape and how it’s evolving. Enjoy!
On July 17th at 5pm PT, Nic Teague will lead a discussion on the paper Quantum Machine Learning by Jacob Biamonte et al, which explores how to devise and implement concrete quantum software for accomplishing machine learning tasks. If you haven’t joined our meetup yet, visit twimlai.com/meetup to do so.
Also, be sure to sign up for our weekly newsletter. I recently shared a write up detailing the ML/AI Job Board we’re working on, and got a ton of encouragement and interest. To make sure you don’t miss anything, head over to twimlai.com/newsletter to sign up.
Mentioned in the Interview
- Kitman Labs
- Machine Learning at Kitman Labs
- AI x Sports
- TWIML Presents: Series page
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0