Artificial Intelligence in Management
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Artificial Intelligence in Management

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

Andrzej Wodecki

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.
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Chapter 4: Prospects for the future

Andrzej Wodecki

Abstract

Chapter 4 is devoted to trends in the development of intelligent technologies relevant to modern management. We begin with the analysis of the possible impact of Ai on organizations, markets, and people, describing structures such as decentralized Ai or cognitive networks. Next, we discuss new, desirable competences and the impact of intelligent machines on the position of humans in an organization. We conclude with the horizons of contemporary fundamental and applied research and its possible effect on management science and society.

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