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Automated business process management – in times of digital transformation using machine learning or artificial intelligence

  • Published:2017 Issue: Volume:121 Page:04007
  • ISSN:2261-236X
  • Container-title:MATEC Web of Conferences
  • language:
  • Short-container-title:MATEC Web Conf.

Author:

Paschek Daniel,Luminosu Caius Tudor,Draghici Anca

Publisher

EDP Sciences

Subject

General Medicine

Reference18 articles.

1. Schwab K., Die Vierte Industrielle Revolution, (Publisher Pantheon Verlag, 2016)

2. Atiker Ö, In einem Jahr digital: Das Praxishandbuch für die digitale Transformation, (Publisher Viley-VCH Verlag & Co.KGaA 2017)

3. http://www.mckinsey.com/business-functions/operations/our-insights/manufacturings-next-act Accesed 2015

4. http://www.hightech-strategie.de/de/Industrie-4-0-59.php Accesed 2017

5. https://www.salesforce.com/uk/blog/2016/09/what-is-industry-4-0.html Accesed 2016

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1. Machine Learning Applications in Human Resource Management: Predicting Employee Turnover and Performance;International Journal for Global Academic & Scientific Research;2024-07-02

2. Deep Learning-Enabled Human Resource Analytics in Predicting Employee Performance;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

3. Revolutionizing Credit Risk: A Deep Dive into Gradient-Boosting Techniques in AI-Driven Finance;2024 International Conference on Information Networking (ICOIN);2024-01-17

4. A systematic literature review on the application of process mining to Industry 4.0;Knowledge and Information Systems;2024-01-16

5. A Proposed Process Redesign Using Lean Thinking Principles in Legal Services;Lecture Notes in Management and Industrial Engineering;2024
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