Explainable AI in Sports Management: From the Lab to the Federation
The hardest part of bringing AI into sport isn't the model — it's trust. Lessons from explainable AI, biomechanics, and digitizing a national federation.
On technology leadership, digital transformation, sports management, and the intersection of innovation and human expertise.
The hardest part of bringing AI into sport isn't the model — it's trust. Lessons from explainable AI, biomechanics, and digitizing a national federation.
What it actually means to modernize travel agencies — lessons from digitizing legacy processes at Oniria Studios.
What I've learned about leading technical teams across different domains — and why the best technology leaders are translators, not just builders.
How technology leadership transforms sports organizations — lessons from building athlete support systems at RFEJYDA.
Lessons from leading the digital transformation of Spain's national judo federation — where institutional inertia, EU funding, and athlete needs collide.
Reflections on designing AI curriculum at Universidad San Jorge — where academic rigor meets industry reality and students challenge your assumptions.
Exploring the critical role of explainable AI and interpretability techniques in real-world settings — healthcare, sports, and beyond — where trust drives adoption.
How experience in sports education, institutional leadership, and athlete development builds the foundation for leading innovation across technology and healthcare.
How EU-funded projects, data platforms, and multidisciplinary teams are reshaping how national sports federations support and develop athletes.
I write about the topics I'm passionate about: technology leadership, digital transformation, explainable AI, sports management, and how multidisciplinary expertise drives meaningful innovation.
I love engaging in conversations about AI, sports technology, and innovation leadership.
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