In collaboration with Matthew James Bailey (leading authority, pioneer, and consultant in innovation, AI and AI Ethics, Smart Cities, IoT, and a renowned author), this brand new white paper focusses on the role played by artificial intelligence (AI) in shaping the future experience of Smart Cities.
Cities are recognizing that human-centric systems are far too inefficient and continually fail to meet local challenges and requirements of the general public for high-quality delivery of service. We have seen this globally with the COVID-19 pandemic. As such, cities are recognizing that data is the new digital citizen that enables city services to become data-centric and automated to serve every aspect of the societal experience. In doing so, cities are forging towards an intelligence-based city, where city data can be used to train artificial intelligence to become digital citizens dedicated to assisting cities to leap ahead in every aspect of the societal experience. In other words, we are seeing the emergence of a societally focused and equitable partnership between machines and humans.
With a foreword by Emanuele Bompan, Environmental Journalist, Author, Editor-in-Chief at Renewable Matter (a FIWARE media partner), and quotes from (U.S-based and European) industry leaders from the most diverse fields, this White Paper features some examples of AI-based projects and solutions developed by members of the FIWARE Community.
Companies such as HOPU, Red Hat, StoneOne, and WiseTown are behind some of these initiatives, coping with the management of air pollution, street lighting, infrastructure defects detection, and smart decisions in a city, respectively. Furthermore, the AI/ML as a Service platform developed by EGM can, on the other hand, facilitate the development of concrete AI/ML services powered by FIWARE.
It also showcases projects i4Trust and AI Marketplace and how they are introducing the relevant framework for the creation of data spaces where different organizations share a Digital Twin representation of the world, publishing data they own and consuming data others publish. Plug&play AI/ML services can be offered through marketplaces, boosting the development of the data economy.