Key Objectives

Objective 1

Deliver a user-friendly e2e AI framework for DataOps and MLOps in 6G

Objective 2

Deliver Gaia-X and Extract Load Transform (ELT) approaches for DataOps in 6G environments.

Objective 3

Streamline 6G testbed’s trustworthy AI/ML operations via MLOps and AutoML.

Objective 4

Deliver plug-able adapters to easily integrate 6G testbeds from future calls.

Objective 5

Build and Integrate a Digital Twin Testbed to generate representative datasets for 6G.

Objective 6

Ethical data sets and validation methodologies and legislative compliance

Objective 7

Dissemination, Communication, Exploitation and Standardization

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