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 2: The impact of autonomous systems on technologies, processes and industry sectors

Andrzej Wodecki

Abstract

In this part of the book, we present applications of intelligent, autonomous solutions in key functional areas of the organization and selected industries. Based on nearly 200 analyzed case studies, we start with a description of the technologies underlying modern intelligent systems, in particular, those enabling perception and situational awareness, communication, and security. Then we show what value such systems can generate in asset management, production, logistics, marketing, and sales or IT systems management. Finally, we analyze the possible impact of Ai on various industries: from manufacturing and construction, through transport, agriculture, energy sector to finance and health care. Hundreds of cases presented in here form the basis for the next chapter, where we propose business cases and strategies for implementing such solutions in modern organizations.

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