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Hall 3, 19/09/2019 (16:00-17:15)


ICT-51-2020: Big Data technologies and extreme-scale analytics

Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge and commercial value from data but at the same time have huge potential towards more accurate predictions, better analytics and responsible AI. This calls for novel methods, approaches and engineering paradigms in machine learning, analytics and data management and a coordinated action with the appropriate technology areas, contributing to a European leadership in these areas.

Sub-topic a) - Research and Innovation Actions (RIA)

New methodologies and engineering solutions addressing industrial and/or societal challenges. Proposals should cover at least one of the following technology areas: machine learning/deep learning (especially on distributed data sets), architectures for collecting, managing and exploiting vast amounts of data; system engineering/tools to contribute to the co-design of federated/distributed systems (to involve all stakeholders/technology areas); new methods for extreme-scale analytics, deep analysis, precise predictions and automated decision-making; novel visualization techniques; data fusion and data integration technologies; standardized interconnection methods for efficient sharing of heterogeneous data pools, seamlessly using distributed tools and services.

Sub-topic b) - Coordination and Support Action (CSA)

Coordination between the different existing and emerging activities in HPC/BD/Cloud/AI technologies, including Public-Private Partnerships, digital innovation hubs, and relevant national and regional initiatives, in particular the European Network of National Big Data Centres of Excellence; supporting the transition towards the Horizon Europe programme.

DT-ICT-05-2020: Big Data Innovation Hubs

The challenge is to break "data silos" and stimulate sharing, re-using and trading of data assets by launching a second-generation data-driven innovation hub, federating data sources and fostering collaborative initiatives with relevant digital innovation hubs. This shall promote new business opportunities notably for SMEs as part of the Common European Data Space. Digital Innovation Hubs should strengthen European SMEs and empower European citizens by supporting them to use and combine data sources from different sectors and communities to develop innovative products and services. Special attention should be paid to fostering and facilitating the "fitness to the market" of the new solutions and data-driven business concepts, and to introducing best practices to sectors whose business models are not yet data-driven.

• Sub-topic 1: Federate and network the relevant actions and initiatives, especially digital innovation hubs that contribute to the creation of a Common European Data Space.

• Sub-topic 2: incubate innovation experiments in view of bringing to the market new solutions and services based on secure and trusted data value chains.

• Sub-topic 3: incubate innovation experiments that involve one or both of the following aspects:

1. new ways in which citizens can exploit data to better target and extend the reach of user generated content, to increase content diversity, transparency and accountability, in a way that enables bottom-up quality journalism, science education or digital democracy.

2. new ways in which artists and the creative sectors could be integrated in the development of innovative data exploitation for content creation.

Recording of the session

Agenda and other documents

Coordinator: Kimmo ROSSI (European Commission, CONNECT.G1, Luxembourg), Martina EYDNER (European Commission, Communications Networks, Content and Technology, Luxembourg)

Track: 5G & Next Generation Internet


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