This report addresses the following objective of AI Watch: to monitor and gather information on the work on Artificial Intelligence of European and international Standards Development Organizations (SDOs), and assess their relevance in the context of the European regulatory framework proposal on Artificial Intelligence.
This white paper aims to describe all these business scenarios according to a common methodology (namely Business Model Navigator) in order to identify commonalities / differentiating aspects and support comparative benchmarking analysis. The white paper claims that the preparation of the individual cases is generally understandable for people who are familiar with the fundamental value creation processes in manufacturing industries. The white paper should also illustrate the various ways IoT in manufacturing industries can impact the design of business models.
In the present White Paper, ETSI offers a summary of societal challenges outlined in the AI Act and details activities in its Technical Committees and Industry Specification Groups which are of relevance to the AI Act and thus can be exploited and driven forward for its implementation. ETSI has conducted a survey across its technical activities and has mapped its technical activities to specific (sub-)Articles of the AI Act that are presented in.
This report presents the methodology developed for the literature review of the urban energy systems framework and deals with the state of the art in digitalisation of urban energy systems detailing the role of citizens towards digitalisation of urban energy systems and the limits of digitalisation of 4 the urban energy sector