Datenfabrik.Insights: How artificial intelligence is changing production in companies
With over 50 use cases for the application of artificial intelligence (AI) in production, the new Datenfabrik.Insights brochure from the Datenfabrik.NRW project offers companies practical solutions for making production processes future-proof and competitive. The concrete application examples are based on real experiences in the lighthouse factories of CLAAS and Schmitz Cargobull. The brochure is aimed specifically at manufacturing companies and uses concrete examples and practical solutions to show how AI can make production processes more intelligent, flexible and efficient.
With a clearly structured overview of 50 realized use cases, the brochure impressively highlights how AI is changing the production landscape. It shows how companies can not only successfully implement AI, but also use it in a sustainable and scalable way – from planning to use in daily operations.
Experience and findings for direct practical use
Datenfabrik.Insights offers companies valuable insights and practical recommendations for starting and successfully implementing their own AI projects. The practical findings are based on cooperation with the lighthouse factories CLAAS and Schmitz Cargobull, where the Datenfabrik.NRW is already established in practice. Companies that often face technical and organizational challenges in their transformation to a digital factory will find valuable guidance and examples of how they can make their structures and processes more efficient.
Lessons learned: Success factors for the implementation of AI projects
Another highlight of the brochure is the overview of eleven key ‘lessons learned’ – tried and tested insights that show how manufacturing companies can overcome hurdles and successfully integrate AI into their production processes. From efficient project planning and the qualification of specialists to the selection of suitable AI applications, the brochure offers structured advice on how to anchor AI-supported solutions in the company in the long term. These insights were developed specifically for the challenges faced by small and medium-sized companies and help them to exploit the added value of AI profitably in the long term.