EDI and DDE

Lessons DDE and Ecosystems of Trust can learn from EDI infrastructure to disrupt trade systems

EDI and DDE: Lessons for Disrupting Trade Systems

The Dynamic Data Economy (DDE) and the ambient infrastructure of self-sustaining Ecosystems of Trust can learn several lessons from established Electronic Data Interchange (EDI) infrastructure to enhance and potentially disrupt traditional trade systems, making them more open and accessible to Digital Public Infrastructures (DPI):

  1. Standardization and Interoperability: EDI's success is largely due to its standardized formats, which ensure interoperability across different systems. DDE can build on this by developing flexible, yet standardized protocols that allow for seamless data exchange across diverse platforms and ecosystems, enhancing accessibility and integration with DPI.

  2. Security and Trust: EDI provides secure data exchange, which is crucial for business transactions. DDE can leverage its decentralized trust infrastructure to offer even greater security and trust, using technologies like Key Event Receipt Infrastructure (KERI) and Authentic Chained Data Containers (ACDC) to ensure data integrity and authenticity.

  3. Efficiency and Automation: EDI automates the exchange of business documents, reducing manual intervention. DDE can further enhance efficiency by utilizing Overlays Capture Architecture (OCA) to automate data processing and decision-making, enabling real-time insights and actions.

  4. Scalability and Flexibility: While EDI is effective, it can be rigid and costly to scale. DDE can offer more scalable and flexible solutions by supporting dynamic data flows and decentralized governance, allowing ecosystems to adapt to changing needs and contexts.

  5. Inclusivity and Accessibility: EDI systems can be complex and costly to implement, limiting access for smaller businesses. DDE can democratize access to trade by providing more inclusive and cost-effective solutions, enabling broader participation in global markets through DPI.

  6. Data Sovereignty and Control: DDE emphasizes transactional sovereignty, allowing actors to maintain control over their data. This contrasts with traditional EDI systems, where data control can be more centralized. By empowering individuals and organizations with greater data sovereignty, DDE can foster more equitable and transparent trade practices.

By learning from EDI's strengths and addressing its limitations, DDE and Ecosystems of Trust can create more open, efficient, and accessible trade systems that align with the principles of Digital Public Infrastructures.

Sources
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Metadata
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