Publisher's Synopsis
In our world, where information and communication technologies are reshaping and continuing to shape every field, it is clear that enterprises that can follow the flow of information, grind the information they collect in information mills, and provide intelligence by using their internal and external information, can adapt to changing conditions in a timely and effective manner in proportion to its power. At this point, the aim is to automate the realization of this whole process to the greatest possible extent. In this context, the important developments in the last 20 years have been focusing on business intelligence, big data, deep learning, reinforcement learning, data intelligence, decision intelligence, automated decision-making, and other concepts and the development of application tools.
From this point of view, under the title of "Data-driven decisions in enterprises - implications for business education and cases," papers collected from various universities worldwide are included in this conference proceedings.
