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Experimentation with software deployment

  • Fraunhofer IPA and at the customer's site
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Description of the service

Optimize your systems, devices and AI assets for seamless software deployment in the AI lifecycle!

Deployment functions in production devices and systems are necessary for the AI-/ML-driven development of production. Manufacturers face the challenge of supporting and maintaining increasingly complex software while making their products adaptable for AI/ML applications. This requires specialized expertise in software deployment, device management, and consideration of the AI and software lifecycle.

We provide a platform for evaluating systems and devices for optimization in software deployment, especially for applications in the AI/ML context. In an experimental environment, you’ll learn how to design your products to serve as a resource or artifact of deployment systems, enabling long-term management of AI applications throughout their lifecycle.
Expected results: Report with experimentation results and recommendations
The methodology: Systems and devices are described as deployment resources in compliance with the template “Deployment Requirements”. Based on this, their integration capability in (AAS-capable) service lifecycle management environments is experimentally examined.
Target: AI/ML system providers or integrators for Production Systems and Industrial Manufacturing
  • Organization: IPA
  • Type: Experiment
  • SUT/E: Systems and devices to be integrated with software deployment setups
  • Average duration: 6 -- 18 weeks
  • Contact: Matthias.Schneider@ipa.fraunhofer.de

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Co-financed by the European Union under grant agreement number 101100707

Supported by the Baden-Württemberg Ministry of Economic Affairs, Labor and Tourism.

However, the views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Union or the Directorate-General for Communication Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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