Growing Edge

May 22, 2023 / Melody Smith / Comments Off on Growing Edge

Every day, the news highlights how emerging technologies like artificial intelligence (AI) and machine learning are changing businesses operations, improving education, and impacting personal and professional quality of life. This news from Acceleration Economy should therefore come as no surprise: “How AI and Machine Learning (ML) Help Prevent Sports Injuries.”

Sports has long been using AI, machine learning, and data science to choose players and decide lineups, but now they’re able to predict and prevent injuries by examining large amounts of biometric data gathered by sensors placed directly on athletes as they train.

Data-based prediction analysis is being used by soccer and football leagues for injury prediction. The data helps coaches adjust players’ training schedules and playing time.

Understanding AI and machine learning algorithms’ decision-making and output is important. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact, and its potential biases. Why is this important? Because explainability becomes critical when the results can have an impact on data security or safety.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, changing search to found.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.