European Data Strategy: From data spaces to platforms with decentralised intelligence

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Over the past few years, a rapid and disruptive acceleration of progress in Artificial Intelligence has occurred, driven by significant advances in widespread data availability, computing power, and machine learning.

The Draghi report on European Competitiveness published in September 2024, calls for a launch an ‘EU Vertical AI Priorities Plan’. Within these priorities, the plan would fund key vertical AI models across industrial sectors, including energy, built on EU data sharing, safeguarded from anti-trust enforcement. The Common European Data Spaces, supported under Horizon Europe and Digital Europe Programme (DEP) provides a basis to make data more readily available for enterprises, administrations and citizens, and enable safe, trustworthy and compliant data operations and data sharing within verticals and across different sectors like mobility and energy. European stakeholders have to put their stakes together towards a data platform strategy, of which some key building blocks are supported under the DIGITAL programme. These include the implementation of a Common Reference Framework for energy savings applications, the deployment of the data spaces in energy and mobility, and the establishment of AI Testing and Experimentation Facilities and Digital Innovation Hubs. A new cloud-edge-IoT paradigm will bring the next wave of innovation and openness for decentralised system intelligence, different from today’s cloud and data processing market dominated by hyperscalers.

The talk will elaborate on the need of an industrial data platform strategy and how these actions will contribute to the development of a more efficient, sustainable, and secure European data and AI ecosystem. Looking ahead, leveraging the potential of artificial intelligence as well as GenAI across the cloud-edge continuum will accelerate the twin green and digital transition of the EU’s decarbonisation strategy.




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