Artificial Intelligence in Management

Self-learning and Autonomous Systems as Key Drivers of Value Creation

Andrzej Wodecki,魔法部gement, Warsaw University of Technology, Poland

Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.

‘This publication is a very useful guide for organization administrators who hope to optimize operation management with proper applications of AI. For readers who have already known AI and management science, and is trying to integrate AI into management for new strategies and modes, or who want to extend their knowledge of AI in management, this book must be an ideally enlightening resource and will serve as an inspiring guide for future studies.’
– Ren Yuan, International Journal of Knowledge-Based Organizations