6G technology requires AI and machine learning to work seamlessly across all parts of the system, from network management to resource optimisation. However, there are several challenges. One issue is the lack of high-quality datasets needed to train AI models. Additionally, testing and evaluating AI models in a real 6G environment is difficult without access to a testbed or digital twin. In this context, the EU-funded 6G-DALI project will create an end-to-end AI framework for 6G. It has two main components: AI experimentation as a service and data collection and storage. This framework provides data for training and easy access to open datasets. It also includes a digital twin testbed for generating data on demand.
