Alerte Digital Sport realises that one of the biggest barriers for clubs adopting a new tool is the ease of use and integration with existing process. Alerte’s system makes it easy to integrate existing datasets for artificial intelligence training and analysis and generate injury predictions. A simple, step-by-step data entry process minimizes the amount of effort needed for a club to implement the system.
Users can enter multiple different data streams into the database, specify the type of data: Total Distance, Various Banded Distance, Heart Rate, Player Metadata. Once specified CSV, XLSX formats are supported to enter the data with one click, or drag and drop.
Importing injury data follows a similar process. Injuries are entered in CSV format, which allows the AI to learn and optimise performance.
A simple to use web-application is backed by a powerful data-management and artificial intelligence engine. Drag and drop tools allow a user to build a training plan for their team into the future.
Real time AI analysis updates risk predictions for each player every time a training plan is modified. Team views allow a coach to identify and monitor at-risk players. Coaches are able to modify individual training plans to reduce individual injury risk . Team plans can be saved for later sessions and to view actual vs. planned training sessions and injury risk.
The ADS Artificial intelligence (A.I.) Engine takes historical team data from a multitude of environment specific sources e.g. GPS, RPE, Wellbeing, Sleep etc. and integrates it with current and future training loads to develop unique models for each individual within the specified group.
Robust automated internal validation systems asses the performance of each model against core algorithms and determines the most effective model in each case. Then, utilising the optimised model the system provides the user with a risk assessment per player per day.
The ADS system allows the coach granular interaction with the data via the unique Future Loading Tool. The planned load for any athlete may be independently assessed for future risk based on the most effective model determined by the A.I. Engine.
Coaches can change any future loading parameter and assess associated risk profiles which are generated and displayed in real-time. This reduces the often short term approach to risk mitigation by radically increasing the clarity for coaches on known training variables for the future.