GetAi / Smarter City Lab
This page exists as an archive of the work carried out in connection with Helsingborg's innovation initiative H22 and H22 City Expo, years 2019-2022.
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Smarter City Lab and Get AI
Leading applied AI for smart cities
Helsingborg is on track to become one of Europe’s most innovative cities, and the new Get AI centre and the Smarter City Lab are two key projects putting the city at the forefront of applied artificial intelligence (AI) in Sweden. The Get AI centre explores how to make the best use of AI to better run the city and serve its residents and businesses. It also helps local and global businesses and the startup community to learn about the possibilities of AI and to create and launch AI applications with an expert maker team. And the new Smarter City Lab is where the data comes from. As a data lab and data factory that functions as a national resource for AI applications in smart cities, the Smarter City Lab makes datasets, development tools, and AI competencies available to anyone interested in developing AI products and services. That includes other cities, the public sector, the business community, universities, and you! The ambition is to help accelerate the implementation of AI applications in Sweden through sharing knowledge and data, co-locating competencies, and collaborating on projects.
Partners in the venture include Vinnova, Lund University, Voi technology, IBM and Microsoft. Read more about the projects or join a Get AI workshop or webinar to learn more about the possibilities of AI. Already full of ideas? Get in touch and tell us about it.
”We are serious about supporting artificial intelligence, and the many AI initiatives in Helsingborg create a unique platform for collaboration between cities, companies, and academia, both in Sweden and internationally, to really get the use of AI into the private and public sectors – for the benefit of residents, businesses, and society at large.”
– Martin Güll, Director of Digitalisation for the City of Helsingborg
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TEST BEDS
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
