Cédric Gégout
About Cédric Gégout
Cédric Gégout is the Vice President of Product Management at Canonical, with extensive experience in product management, innovation management, and IT architecture. He has held various leadership roles in companies such as Amdocs and Streamezzo, and currently teaches Artificial Intelligence at Rennes School of Business.
Current Role at Canonical
Cédric Gégout serves as the Vice President of Product Management at Canonical, a position he has held since 2023. In this role, he focuses on overseeing product strategies and innovations, leveraging his extensive experience in technology and product management. His leadership aims to enhance Canonical's offerings in the competitive tech landscape.
Previous Experience at Amdocs
Cédric Gégout worked at Amdocs in various capacities between 2010 and 2023. He served as Development Director from 2010 to 2015 and later as Head of Technical Product Management from 2018 to 2023. Additionally, he held the role of Portfolio System Chief Architect from 2015 to 2018. His tenure at Amdocs was marked by a focus on innovation management and IT architecture.
Background in Multimedia and Artificial Intelligence
Cédric Gégout has a strong background in multimedia and artificial intelligence, which informs his approach to product management. His expertise in these areas allows him to integrate advanced technologies into product strategies effectively, particularly in the context of modernizing large organizations.
Education and Expertise
Cédric Gégout studied at Ecole normale supérieure, where he focused on Computer Science and Mathematics, achieving a PhD from 1991 to 1995. He furthered his education at Télécom Paris, obtaining another PhD in Computer Science and Radio Communication from 1996 to 1998. His academic background supports his specialization in cloud technologies, DevOps, microservices, and rich internet applications.
Teaching Role at Rennes School of Business
Since 2022, Cédric Gégout has been an Adjunct Faculty Instructor at Rennes School of Business, teaching courses on Artificial Intelligence. His role in academia allows him to share his extensive knowledge and experience with students, bridging the gap between theoretical concepts and practical applications in the tech industry.