This essay aims to describe the dynamics at play in the field of industrial AI, where the significant efficiency potential is driving demand. There are rapid technological development and increasing use of AI technology within the industry. Meanwhile, practical applications rather than technical development itself are creating value. The primary purpose of the article is to spread knowledge to industry. It is also intended to form the basis of the Swedish innovation program PiiAs ongoing work around open calls and targeted strategic innovation projects. The basic approach taken is to investigate both industry demand for AI and how the supply of technology is developing. AI takes in a broad and dynamic range of concepts, but it should also be considered in an even broader context of industrial digitalisation. The article has been divided into two sections: The Market, in which we assess the development and the consequences on the factory floor; and The Technology, which provides a more in-depth understanding of the structures of industrial IT and machine-learning technology. The article concludes with four practical examples from the industry.
The Øresund Bridge is part of the international fixed link currently under construction across the sound separating Copenhagen, the capital of Denmark, and Malmö, the third-largest city in Sweden. The link, scheduled to open in 2000, is a toll-funded motorway and railway crossing. The 15.8-km coast-to-coast part of the link consists of a 0.5-km artificial peninsula at Copenhagen Airport, a 3.5-km immersed concrete tunnel, a 4-km artificial island, and a 7.8-km bridge. The bridge includes as its central section a 1.1-km cable-stayed bridge. The 490-m main span crosses the international shipping lane Flintrännan with 57-m minimum headroom and on completion will be the longest span of any cable-stayed bridge in the world carrying both road and railway traffic. Approach spans leading up to the cable-stayed bridge are typically 140 m. The owner of the link is Øresundskonsortiet, a company jointly and equally owned by the Danish and Swedish states responsible for financing, planning, implementing, and operating the link. ASO Group is the owner’s bridge consultant responsible for the concept, the technical documentation, and for monitoring and auditing the construction of the bridge. Described are the background and strategy in procuring this major international infrastructure project and the development of the bridge design from design competition to construction.
This essay aims to describe the dynamics at play in the field of industrial AI, where the significant efficiency potential is driving demand. There are rapid technological development and increasing use of AI technology within the industry. Meanwhile, practical applications rather than technical development itself are creating value. The primary purpose of the article is to spread knowledge to industry. It is also intended to form the basis of the Swedish innovation program PiiAs ongoing work around open calls and targeted strategic innovation projects. The basic approach taken is to investigate both industry demand for AI and how the supply of technology is developing. AI takes in a broad and dynamic range of concepts, but it should also be considered in the even broader context of industrial digitalisation. It is not just a question of technology development, but equally about application knowledge. Realising the full potential of AI requires the ability for change within individual companies, but also to handle exchanges and interactions in changing ecosystems. The article has been divided into two sections: The Market, in which we assess the development and the consequences on the factory floor; and The Technology, which provides a more in-depth understanding of the structures of industrial IT and machine-learning technology. The article concludes with four practical examples from the industry.
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