The Elements of Big Data Value Foundations of the Research and Innovation Ecosystem
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Ecosystem Elements of Big Data Value
- The European Big Data Value Ecosystem
- Stakeholder Analysis of Data Ecosystems
- A Roadmap to Drive Adoption of Data Ecosystems
- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far
- Part II: Research and Innovation Elements of Big Data Value
- Technical Research Priorities for Big Data
- A Reference Model for Big Data Technologies
- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies
- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence
- Data Innovation Spaces
- Part III: Business, Policy, and Societal Elements of Big Data Value
- Big Data Value Creation by Example
- Business Models and Ecosystem for Big Data
- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework
- The Road to Big Data Standardisation
- The Role of Data Regulation in Shaping AI: An Overview of Challenges and Recommendations for SMEs
- Part IV: Emerging Elements of Big Data Value
- Data Economy 2.0: From Big Data Value to AI Value and a European Data Space