AI for Impairment Accounting

Sören Hartung and Manuela Führer ()
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Sören Hartung: Helaba
Manuela Führer: Helaba

A chapter in The Digital Journey of Banking and Insurance, Volume I, 2021, pp 67-79 from Springer

Abstract: Abstract The authors present a practical application of machine learning in the context of an accounting department. The article gives an insight into how the use case was identified and how it was embedded in the existing IT landscape and infrastructure. The results of the chosen approach are presented, and an outlook is given at the end of the article.

Keywords: Impairment IFRS 9; Batch processing; Pattern recognition; Process monitoring; Anomaly detection; Data quality; Deep learning; Machine learning; Autoencoder; Batch; Bayesian network; H2O (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-78814-8_6

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DOI: 10.1007/978-3-030-78814-8_6

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