The current market demand presents two major challenges to the existing platform:


To increase scalability to unprecedented levels and  ii) to guarantee the necessary privacy to most data sources. 


In order to increase the platform’s scalability, AIDA will allow moving some of the phases of the chain to the extremes of the system, potentially beyond the physical or even administrative control of the owner. In order to guarantee the privacy of data sources, AIDA will explore emerging federated machine learning techniques, in addition to other techniques.


The first is the need to further distribute the platform components to achieve greater levels of scalability, by leveraging the increasing edge computing capacity made available by the IoT and the imminent large-scale deployment of 5G cellular technology. This would mean expanding the platform to operate beyond trusted administrative domains. 


The second is conciliating privacy and confidentiality guarantees to handle increasingly more input data sources, with the extraction of valuable information from the data that can be trusted, an issue exacerbated considering multiple data owners or across administrative domains.