Research and development of advanced Artificial Intelligence solutions combined with state-of-the-art techniques (e.g. LLMs, Federated Learning), integrating them efficiently into hybrid edge-cloud ecosystems in different sectors, with a particular focus on optimising their performance and capabilities in cloud computing environments.
Distribution and consumption
Josu Ircio Fernández
Focus on research, development and the implementation of artificial intelligence algorithms that handle different data sources, such as time series, images, videos, text and voice, with the purpose of deploying versatile, multi-sector AI applications that detect defects, predict events, classify objects, extract relevant information, analyse patterns and optimise processes.
Aizea Lojo Novo
Role of this AI leader within the company: She heads a team of around 30 people, firstly in advanced Artificial Intelligence applied to different sectors, different applications and different types of data, secondly in data architectures and finally in AI productivisation where MLOps pipelines are built.
