Tomás Pariente (male) has a Bachelor’s degree in Telecommunication Engineering by the UPM (Spain).

His technical expertise is mainly in Artificial Intelligence, Big Data, Linked Data, and knowledge management. This expertise started in 1987 when he joined the company Indra Sistemas, where he has taken part in multiple commercial and R&D projects.

Since June 2006 he works as a project manager and technical coordinator for EU-based projects in semantic and big data technologies in the Research & Innovation department of Atos, where he currently heads the Big Data & Advanced Parallel Computation Unit. Tomás is involved in several organizations and initiatives in these technologies, such as BDVA or the European AI Alliance.

He was coordinator of the EU FP7 project FIRST and is currently working actively in research activities in the H2020 project AI4EU, the European AI on-demand platform (leading the AI4Agriculture pilot), the H2020 project DEMETER, where he has an active role in AI and big data solutions for the agrifood domain, the H2020 SCA BDVe, supporting the action of the Big Data PPP and DataBench, for benchmarking of big data solutions. In recent years he contributed to several other EU projects such as BigMedilytics, QROWD, PHEME, MLi, VELaSSCo, LeanBigData, BIG, VPH-Share, KHRESMOI, TaToo, FIWARE, Virtuoso, SOA4ALL, NeOn, TAO, LUISA or INFRAWEBS. He participated and coordinated several Spanish R&D projects.