European Data Strategy - From Data Spaces to Platforms with Decentralized Intelligence

Overview

Explore the EU's strategic vision for data spaces, AI development, and decentralized platforms, focusing on industrial sectors and the shift towards edge computing paradigms.

Syllabus

• Introduction to European Data Strategy
Overview of the EU's digital agenda and policy frameworks
Understanding the concept of data spaces
• Exploring Data Spaces in Europe
Definition and importance of data spaces
Key sectors benefiting from data spaces (healthcare, transport, manufacturing)
Privacy and data protection regulations (GDPR)
• AI Development in the European Context
EU initiatives and funding for AI research and innovation
Ethical guidelines and compliance for AI systems
• Decentralized Platforms
Comparison of centralized vs. decentralized platforms
Role of decentralization in data sovereignty
• Industrial Applications of Data Spaces and AI
Case studies on data spaces in European industries
Integration of AI in industrial processes
• Edge Computing Paradigms
Definition and advantages of edge computing over cloud computing
Role of edge computing in decentralized intelligence
• Building and Implementing Decentralized Intelligence
Tools and technologies for developing decentralized AI systems
Challenges and solutions in implementation
• Future of Data Strategy and Decentralized Intelligence in Europe
Emerging trends and technologies
Vision for a unified European data ecosystem
• Conclusion and Strategic Implications
Recap of key strategic goals
Discussion on the broader impact of data strategy on European competitiveness

Subjects

Business