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This article presents a method for potential analysis for identifying application potentials for application of machine learning (ML) in organizations. This method describes a systematic approach that emphasizes both the requirements of employees and business processes. The structure and artefacts of the method are described in this paper. Furthermore, the application of this method at an environmental agency as pilot user is presented. The results show that this method helped the environmental agencies to quickly develop ML solutions and select beneficial ML solutions effectively.

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A Method for Potential Analysis to Identify Application Scenarios for Machine Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Frank Fuchs-Kittowski,
  • Paul Schulze,
  • Andreas Abecker,
  • Jonas Lachowitzer,
  • Stefan Lossow,
  • Heino Rudolf,
  • Erik Rodner

摘要

This article presents a method for potential analysis for identifying application potentials for application of machine learning (ML) in organizations. This method describes a systematic approach that emphasizes both the requirements of employees and business processes. The structure and artefacts of the method are described in this paper. Furthermore, the application of this method at an environmental agency as pilot user is presented. The results show that this method helped the environmental agencies to quickly develop ML solutions and select beneficial ML solutions effectively.