Anna’s route into sports science began as an international-level rower. Her interest in training, performance and data eventually took her from competing for the United States to helping develop the systems that support athletes across 19 sports at Utah.

In this episode, Anna explains how Utah has moved from manual data exports and generalised reporting to faster, integrated workflows that deliver relevant information to coaches and practitioners. She discusses why collecting more data is not always the answer, the importance of educating decision-makers and how greater context can prevent practitioners from drawing the wrong conclusions from a metric.

The conversation also explores individual athlete baselines, the limitations of fixed asymmetry thresholds and the need to make data specific to the athlete, position and sport. Anna also shares her perspective on artificial intelligence, including where it can improve performance workflows and why it should never replace qualified human judgement.

In this episode you will learn

• How Anna moved from international rowing into applied sports science
• Why Utah only collects data it can use to support athletes or performance
• How the university delivers performance information across 19 different sports
• Why coaches and support staff must understand the context behind every metric
• How Utah has developed more sport-, position- and athlete-specific reporting
• Why fixed thresholds can be misleading when assessing asymmetry
• How integrated performance teams can make better use of limited resources
• Where AI can support practitioners without replacing their expertise
• Why athlete welfare must remain central to every performance decision
• How strong systems create more time for meaningful analysis

About Anna Cruse
Anna Cruse is Assistant Athletics Director for Applied Health and Performance Science and Director of Football Performance Science at the University of Utah.

A former elite lightweight rower, Anna represented the United States at the World Rowing Under-23 Championships before moving into coaching, performance science and data analytics. Her career has included experience with the Philadelphia Union, Penn State and exercise intelligence company Svexa.

At Utah, Anna helps lead the systems used to collect, interpret and communicate performance information across the university’s athletic programme. Her work focuses on turning data into useful decisions while ensuring that technology and analysis remain grounded in good science and the needs of the individual athlete.

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Specifically Jake will be looking at:

• What AI can mean for the sporting world
• How AI can revolutionise data usage in sport
• Real world examples of how AI is already helping teams

*About Jake

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https://geminisports.co/

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​ Position Yourself As An Expert To Your Athletes And Naturally Improve Buy-In
​ Reduce Your Athletes' Injury Ratese
​ Save 100's Of Dollars A Year That Would Otherwise Be Spent On Books, Courses And More
​ Improve Your Athletes' Performance
​ Advance Forward In Your Career, Allowing You To Earn More Money And Work With Elite-Level Athletes
​ Save Yourself The Stress & Worry Of Constantly Trying To Stay Up-To-Date With Sports Science Research

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