The practical path: how to transform a traditional software company into an AI-first company
20 octubre 2026 | 10:15h to 10:45h
In a sector where artificial intelligence is no longer a competitive advantage but a condition for survival, Raona shares the path taken to become an AI-First software company. This presentation explores, in a practical and strategic way, how a software company with years of history, consolidated processes and specialized teams can reinvent itself from within: from the functional and business areas -sales, marketing, operations, people management- to the core of technical development. It is not about adopting AI tools on a one-off basis, but about rethinking the way in which people work, make decisions and create value. A transformation that does not start with technology, but with people and culture.
Presenter:
JOAN MAS
Director, CIDAI
Joan Mas is a Telecommunications engineer (UPC) and MBA (Webster University). He worked for 10 years at the European Space Agency, the Netherlands, in the ENVISAT and METOP projects, Earth observation satellites. From 2000 to 2008 he developed at NTE S.A., equipment for the International Space Station and life support systems for manned space missions. Until 2024 he was Director of the Digital Technologies Division at Eurecat, promoting developments in areas such as Data Analytics and Big Data, Artificial Intelligence, Cybersecurity and others for multi-sector applications. He is currently Scientific Director in the digital field at Eurecat and, from 2021, he is also Director of CIDAI.
Speaker:
PABLO ZAPATA
Technical Business Director, RAONA
Pablo helps corporations navigate one of the most decisive moments in their history: choosing the technologies that will define their future. With a long career in technology development and business transformation — where digitalization has always been the driving force of change — he helps organizations identify real opportunities beyond the hype and build technology adoption with strategic purpose. We are at a moment where success in AI adoption, with people at the center, will become the key differentiator for the organizations that lead tomorrow.

