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Advancements in ML-Enabled Intelligent Document Processing and How to Overcome Adoption Challenges in Enterprises

Author

Listed:
  • Janasz, Tomasz
  • Mortensen, Peter
  • Reisswig, Christian
  • Weller, Tobias
  • Herrmann, Maximilian
  • Crnoja, Ivona
  • Höhne, Johannes

Abstract

The ability to automatically extract and process information from business documents is crucial to many business processes. With the advent of powerful machine learning systems, specifically triggered by deep learning, big data, and today’s computing resources, it has become possible to automate document processing tasks. Although AI-enabled business document processing can be an important driver in the digital transformation of businesses, the adoption by enterprises is considered rather low. This paper presents new advancements in business document processing based on machine learning and introduces business scenarios which benefit from its application. It also offers a holistic view on challenges faced by suppliers and buyers of ML applications. We derive a range of critical success factors and discuss the interrelationship between them in the context of ML.

Suggested Citation

  • Janasz, Tomasz & Mortensen, Peter & Reisswig, Christian & Weller, Tobias & Herrmann, Maximilian & Crnoja, Ivona & Höhne, Johannes, 2021. "Advancements in ML-Enabled Intelligent Document Processing and How to Overcome Adoption Challenges in Enterprises," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 75(3), pages 340-358.
    • Handle: RePEc:nms:untern:10.5771/0042-059x-2021-3-340
    DOI: 10.5771/0042-059X-2021-3-340
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    References listed on IDEAS

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