Pedro Gómez
Co-Founder & CEO, Orbem
Pedro Gómez is a serial entrepreneur trained in Biomedical Engineering (BSc), Biomedical Computing (MSc) and Biomedical Imaging & Informatics (PhD). He combines deep domain knowledge in AI-powered MRI with proven experience in leading growing teams. He is the co-founder and CEO of Orbem, a deep tech startup that has raised >€1.78 in equity-free funding to shed light on the world's toughest challenges.
Pedro is speaking at
General track
November 5, 2020
9:00 am - 10:00 am
Speakers
- Jean-Christophe Pazzaglia (Chair) BDVe Project Manager, SAP
- Julija Melnika (Chair) Project Manager, Tilde
- Elena Simperl (Speaker) Professor of computer science, King's College London
- Pedro Gómez (Speaker) Co-Founder & CEO, Orbem
- Antoine Garnier (Speaker) Musketeer
- Fernando Perales (Speaker) Head of JOT Research Lab, JOT Internet Media
- Laura Martin (Speaker) R&D Consultant, Zabala Innovation Consulting
- Ramon Martín de Pozuelo (Speaker) Project Manager, CaixaBank
- Daniel Alonso Roman (Chair) ITI - Artificial Intelligence & Big Data Partnerships Driver, BDVA i-Spaces group chair / EUHubs4Data coordinator
- Chiara Napione (Speaker) Data scientist, Comau
Description
BDVe project and BDVA have organized this year the second edition of the Best Success Story (BSS) contest. The objective of this activity is threefold: 1) to promote and give visibility to the results produced by PPP projects or BDVA SMEs, 2) to present them in a way that could be better understood by a wider audience, and 3) to support them in how to present those results in in an entertaining, fun and constructive way. This year, 18 stories from 9 projects and 5 SMEs have been received, and results have been recently announced (see all information at: https://www.big-data-value.eu/best-success-story-award-2020/finalists/). During this session, we will present winners and runners up on the different categories, allowing them to share with the audience their respective success stories.
Documents
Session presentation
European Big Data Value Forum
Nov 3 - 5, 2020
Nov 3 - 5, 2020
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