Could AI become the ultimate sports coach? | Lance Watson, LifeSport Coaching
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Coaches are using advanced technologies to track progress and tailor workouts. The integration of data analytics and AI in coaching is not just about numbers but about crafting champions. Is the future of training in data? Is it possible to use technology to shape training while preserving the essence of the coach-athlete relationship?
In this episode you’ll hear about:
- The evolution of triathlon training from manual to digital, highlighting the role of technology.
- The significance of personalized training plans in enhancing athlete performance.
- Insights into the psychological aspects of training that go beyond physical preparation.
- The potential and challenges of integrating AI into coaching practices.
- The balance between data-driven coaching and maintaining a personal touch.
Our guest is Lance Watson
Lance is an Olympic Gold Medal coach and one of only four IRONMAN Master Coaches. Lance has coached at numerous world championships and major Games, including the past four Olympic Games. In 2015 Lance was inducted into the Triathlon Hall of Fame for coaching. He holds a degree in Human Kinetics and a minor in Sport Psychology. He is an NCCP Level IV certified master triathlon coach and a NCCP Level III distance running coach. Lance specializes in coaching athletes of all abilities with busy life schedules, who want the most out of their available training time.
You can find Lance here:
👉🏻 https://www.instagram.com/coach.lance/
👉🏻 https://lifesportcoaching.com/
Applover is an ISO 13485-certified Full-Stack Digital Agency from Wrocław, Poland. Founded in 2016, a team of nearly 160 experts has developed over 200 projects. Applover was recognized by the Financial Times in the 'FT 1000' ranking in 2023 and by Deloitte as a Rising Star (Fast 50 Tech) in the CEE region in 2019, and in 2020 and 2021, in the main category of the FAST 50 ranking.
Follow and find more inspiration:
👉🏻 https://www.linkedin.com/company/applover-software-house/
32 episodes