The project is delivered through a technical stream and a business stream, both of which are crucial for making the project a success.

The technical stream will develop proof-of-concept AI/ML tools that will convert data from  source data models to target data models. The tools will support conversion between many possible source and target data models by using a common meta-ontology, to be developed during the project, that will serve as the common language for interoperability. 

A key goal will be make to the AI/ML and meta-ontology highly adaptable and extensible so that the interoperability solution can be grown on an agile, ‘as-needed’ basis, potentially as part of a common, open platform and as per the requirements of stakeholders who adopt the solution at different points in time. 

The proof of concept we aim to develop will crucially enable all participating systems to be both data generators and consumers, laying the groundwork for a connected data environment for all parties – subject to appropriate permissions.

Central to the success of this project will be the development of business and collaboration models enabling value generation which we will explore during the project. The emerging models will form the business blueprint for scaling up the POC into a shared utility within digital supply chain applications, where all stakeholders and data owners can share rights and obligations in a fair and balanced way.