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This article is a summary of Emansmadi & Lucas Brown research paper, as part of the Master of Management in Artificial Intelligence program at Smith school of business.

Our Approach

The paper presents a novel method for an end-to-end AI analytics application in sports coaching, including both collecting analytic data and deriving coaching insights. First is a ‘proof-of-concept’ for an automated data collection system using AI-based video analytics that builds a sports dataset of observable player and referee game actions relevant for analysis. This data is called ‘tagged data.’ Then, we demonstrate how ‘tagged data’ can derive sports insights relevant…


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