Artificial Intelligence in Application

The book shows application potentials of artificial intelligence in various industries and presents application scenarios on how a practical implementation can take place. The starting point is the description of legal aspects, which includes a European regulation for artificial intelligence and addresses the question of the permissibility of automated decisions.

 The description of various application potentials, mostly industry-related, and the presentation of some application scenarios form the focus of the topic volume.

 The book is based on the question of how artificial intelligence can be used in entrepreneurial practice. It offers important information that is just as relevant for practitioners as for students and teachers.

 This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Table of Contents

Part I: Introduction

1: Potential for Artificial Intelligence and Its Application

Part II: Legal Aspects

2: Legal Challenges of Artificial Intelligence and How to Manage Them

Part III: Application Potential

3: Application Potential of Artificial Intelligence in the Car Trade

4: Acceptance of Al Systems in Retail

5: Application Potential for Causal Inference in Online Marketing

6: Influence of Artificial Intelligence on Customer Journeys Using the Example of Intelligent Parking

7: Artificial Intelligence (AI) for Platform Business Models

Part IV: Operational Scenarios

8: Artificial Intelligence in Automated Document Processing Using the Example of Health Insurance Companies

9: Al in Recruiting: Potentials, Status Quo, and Pilot Projects in Germany

10: Artificial Intelligence in the Staffing Process: Performance Comparisons of (Un)supervised Learning for the Screening of Job Applications

11: An Al-Based Framework for Speech and Voice Analytics to Automatically Assess the Quality of Service Conversations

About the Author

Prof. Dr. Thomas Barton is a professor at Worms University of Applied Sciences. His focus is on the development of operational applications, e-business, cloud computing and data science.

Prof. Dr. Christian Müller is a professor at the Wildau University of Applied Sciences. His focus is on operations research, simulation of business processes and internet technologies.