6G-DALI
Data management and experiment on demand
The objective of this PoC is to demonstrate the capabilities of the 6G-DALI AI framework in addressing user requests for 6G data by establishing the concept of a 6G Data Space. This will be achieved with the involvement of all three 6G testbeds and the cloud infrastructure provided by TID. The PoC will utilize components that will be tested and validated within the TID cloud environment, targeting TRL5.
More specifically, this PoC will:
- Demonstrate the integration of the AI framework with the 6G Data Space and the Gaia-X-based service catalogue, including authorisation and trust mechanisms.
- Showcase the AI framework’s capability to translate user requests into relevant datasets and experiments using LLM technologies.
- Demonstrate the ELT pipeline for populating, transforming (including data cleaning and augmentation), and loading data into the Data Space to support analytics, collection, and storage.
Functionality:
To be defined
Maturity:
Location(s):
Belgium
France
Greece
Vertical sector(s):
To be defined
This use case is replicable
Degree of replicability1:
40
1According to the Replicability Assessment Tool
High level of replicability : 61 < LR < 80
Good level of replicability: 31 < LR < 60
Low level of replicability: 00 < LR < 30
6G-DALI
Duration:
GA Number:
101192750
SNS JU Call (Stream):
Call 3
Stream B