BDVA Strategic Agenda 2026-2030

• I. Introduction
• II. Main strategic pillars
  • Pillar 1. Turning AI and Data into real-world value and impact for EU competitiveness
  • Pillar 2. Strengthening the sovereign data foundations for European innovation
  • Pillar 3. Supporting a coherent and competitive European Data and AI ecosystem​
• III. Turning Data and AI into real-world value and impact for EU competitiveness
  • III.1 Strategic directions
  • III.1.1 Exploring new frontiers of data and AI value creation
  • III.1.2 Accelerating industrial adoption and deployment
  • III.1.3 Unlocking the economic value of Data and AI
  • III.1.4 Accelerating science, innovation and knowledge creation
  • III.1.5 Trust and responsible use as enablers for large-scale adoption
  • III.1.6 Maximising societal and human impact
• IV. Strengthening the sovereign data foundations for Europe
  • IV.1 Strategic directions
  • IV.1.1 Strengthening data availability, access and quality
  • IV.1.2 Advanced data analytics and lifecycle management
  • IV.1.3 Data continuum and data orchestrated infrastructures
  • IV.1.4 Building integrated Data-AI environments
• V. Supporting a coherent and competitive European Data and AI ecosystem
  • V.1 Main directions
  • V.1.1 Ecosystem alignment and strategic coherence
  • V.1.2 Strengthening the policy–industry–innovation interface
  • V.1.3 Enabling broad participation and access
  • V.2 Collaborations with other initiatives
  • V.3 Projects
• VI. Cross-cutting enabling conditions
  • VI.1 Energy efficiency and sustainability
  • VI.2 Resilience and security
  • VI.3 Standardisation, scalability, and replicability
  • VI.4 Skills, education, and human capital development
• VII. Emerging paradigms and future technologies
  • VII.1 Next-generation AI architectures and models
  • VII.2 Collaborative and autonomous AI
  • VII.3 New computing and data paradigms
• VIII. Recommendations