💝 Last week, I was honored to deliver a Masterclass at the 10th Edition of the Sports Business Academy. After Spain, we are the second country in Europe to have a program dedicated to AI in Sport, and I am proud to be part of it, alongside my long-running friend and partner, Cristian Gheorghe.
🤗 Cristian and I have a decade-long history of building projects together, including our beloved Aleargă Pentru Viață (Run for Life) — the project that first brought us together and shaped both our common personal and professional futures.
🚀 After months of discussions and preparations, we did it again: the event went live.
❣️ Moreover, organizing sports events was how I began creating my first production-grade software applications. That’s why I feel nostalgic now—returning to the sports industry after a decade, this time as a software expert, to talk about AI’s impact on sport.
The first production applications I developed early in my career as a software engineer were used to organize sports competitions for an NGO. When you manage a sports field or organize sports events and competitions, you come to understand the complexity of the sports world. You need everything: marketing, communication, graphics, statistics, and real-time data propagation.
Sport is a complex domain that encompasses a wide range of direct and related activities. We’re talking about scientific aspects, social engagement, project and human resources management, gamification, and business operations. The AI revolution is driving profound transformations in all these areas—and sports are no exception. AI is used to analyze vast amounts of data generated by sensors, video cameras, and other monitoring devices, identifying patterns that would be difficult for a coach or technical staff to observe on their own.