The invaluable feedback garnered from our clients and partners has been seamlessly integrated into the most recent round of updates to the Zone7 platform, resulting in a series of practical workflow improvements and new features for managers, coaching staff, and practitioners.
In a recent research group conducted with members of the League Managers Association (LMA), Zone7 explored the role of AI in enhancing managers decision-making capabilities and optimising workload exposure during training sessions.
In this article, Zone7’s Performance Director, Rich Buchanan explores how the company tackles clients’ missing workload data and the methods that Zone7 employs to ensure longitudinal data integrity.
Here are some of the key considerations that domestic clubs should be strategically considering for players remaining at home during the World Cup
In this blog, Rich hopes to provide increased confidence that Zone7 is actively operating outside of the opaque ‘Black Box’ categorisation.
Many opinion pieces and peer reviewed research articles question the current capability of utilising AI to find meaningful insights from the available datasets but do acknowledge further research is required. In parallel, AI systems (such as Zone7) are retrospectively and prospectively demonstrating high levels of capability when it comes to accurately forecasting injury risk.
In this follow up article, Rich focuses on the challenges of introducing something new like Zone7 and how you can attempt to sustain such innovation within a sports performance environment for long term success
If the 2010’s have been about measuring things via hardware devices that generate data, the 2020’s are going to be about making sense of that data and acting upon the insights.