How does AI transform the world of sports?
Krajewski: Mass data opens up new possibilities in training and enables new insights into the
AI realm. Information that used to be more generic can now be personalized to develop a regimen that is truly healthy for the individual athlete and delivers tailored training suggestions at the same time.
The next step is to add gamification as an added incentive to embark in physical activity. Think of virtual reality or augmented reality in sports, where activities like biking are integrated into an interesting game.
The field of performance diagnostics will definitely also see some big changes. Mass data will make it possible to assess talent and recognize potential and reduce the risk of injury in better and faster ways.
How do you ensure data protection and cybersecurity in the project?
Krajewski: The project is strongly focused on both decentralized and cryptographic solutions to ensure information security. Simple stress tests are presented as competitions to test whether re-identification is possible. What’s more, there will also be vendor-neutral cloud security certifications.
Yet despite a strong focus on data security, I believe it's crucial to get a fresh look at data. After all, the idea behind the Digital Sports Hub is to have data sovereignty, which means I decide who has access to my data and make a deliberate decision to share it. The data will not always be kept private in the long-term, but will facilitate applications that will benefit me as a user. Once again, this is where data monetization plays a key role.