European Big Data Value Forum Agenda by Whova

Panos Ilias

IT Business Analyst - DjustConnect, ILVO

He is an IT manager with 20 years of experience in the industry. He holds a PhD in AI and spatial analysis from the Aristotle University of Thessaloniki, where he has worked as a lecturer and PhD researcher. He has work experience in various industry sectors (Banking, Renewable Energy, Real Estate, AgriFood, Transportation, Constructions), pulling together and established core architectural best practices and integrate new technologies into the lines of business. Since 2018, he works as an IT Business Analyst at the ILVO Research Institute for the needs of an industrial co-funding cloud computing project. His primary responsibility is related to the development and operation of a commercial cloud solution, called DjustConnect, that supports application integration and B2B data sharing and reuse, allowing the data usage control and the data monetization in the API economy. In parallel, he represents ILVO at the Big Data Value Association (BDVA) and the International data spaces Association (IDSA).

Panos is speaking at

Parallel session on Data Driven Innovation in the Agrifood sector: where are we?

Application Track 3 - Data Driven AI solutions

November 5, 2020

2:00 pm - 3:30 pm

Speakers

Nuria Lama (Parallel session chair) European Programmes Manager, Member of the Board of Directors of BDVA, Atos Research and Innovation
Ana Antunes (Speaker) Agronomist, SmartRural S.L
Giorgio Micheletti (Speaker) Consulting Director, IDC
Arne Berre (Speaker) SINTEF and NorwAI
Ioanna Roussaki (Speaker) Assistant Professor, National Technical University of Athens
Panos Ilias (Speaker) IT Business Analyst - DjustConnect, ILVO
Sander Janssen (Speaker) Wageningen University & Research (WUR), Team lead Earth Informatics
Luisa Volpe (Speaker) Head of Policy Development, World Farmers Organisation
Rita Gentili (Speaker) Coldiretti

Description

The agrifood sector is one of the most important in Europe, not only because of its contribution to the economy, but also because of its relevance for rural areas, preservation of the environment or impact on citizens’ health. As many other industrial sectors, in the last years it has been increasingly adopting digital technologies. Many challenges still exist in its data-driven transformation, but it is very important that ongoing efforts are recognized and used as baseline for future developments. Large scale deployments of IoT devices have produced a vast amount of data; data models of the domain have been extended, and progress has been made in terms of data sharing and digital platforms for data integration and analytics. In addition, advances in robotics, image recognition and other disciplines are paving the way towards innovative AI-based applications.

This session will build on previous discussions about challenges but will focus specifically on creating awareness about the work done so far in data-related technologies for the agrifood domain. This concept gives us the opportunity to create links between different approaches, initiatives and projects working in the domains of big data, IoT and AI. Furthermore, we want to avoid a discussion focused exclusively in technology, as seen and “sold” by technologists. The session will give voice to the farmers and will drive a lively discussion that will undoubtedly inspire and help all the participants involved or interested in the agrifood sector.