Clarity in the age of AI
with our governance consultingData ecosystem
Data Ecosystem and Data Sovereignty
Focus on establishing the basic framework for a sustainable and sovereign data ecosystem.
Data Ecosystem Governance
- Define an organizational model with an appropriate structure and business model
- Sponsorship model with a sustainable and effective approach
- Developing a governance framework, including a code of conduct, general terms and conditions and data sharing agreements.
Cloud-Sovereignty
- Development of an independent and fully controllable cloud infrastructure blueprint
- Support in developing sovereign AI deployment and operation
Data products
AI and Data
Value creation through targeted and secure data use for AI and other applications
AI governance
- Identification of value-adding use cases.
- Definition of clear added value for participants.
Definition of data requirements.
- Development of impactful questions as a guide for data analysis.
- Data mapping and identification of required data sets and their availability, as well as data sovereignty.
Our expertise in Ecosystem Governance enabled us to significantly contribute to the following projects:
We supported the city of Hamburg in the design of Unified Model Platform (UMP) and the development of a data ecosystem for the city.
We have developed a cross-border data space blueprint (TriRegio) for the Swiss Federal Chancellery that can be used as a framework for implementing data spaces in Switzerland.
Together with the Swiss Data Alliance, we have completed a study for Swisstopo on the importance of geodata as a central foundation for establishing trustworthy data spaces in Switzerland.
We have made a substantial contribution to the preliminary study on the development of a trustworthy and thriving data space for the Swiss agricultural and food sector.
The Milestone Token approach was developed in collaboration with the University of Lucerne as a concept for an adaptive tokenized crowdfunding strategy for ecosystem projects.
