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Andrzej Wodecki

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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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Andrzej Wodecki

In this chapter we introduce main topics covered in this book, its motivation, and briefly describe the research methodology. We present the scope of each of the proceeding chapters, and comment on the most important bibliographical sources. I forms the ground for the Chapter 1, focused on fundamental concepts of Artificial Intelligence.

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The Future of Creative Work

Creativity and Digital Disruption

Edited by Greg Hearn

The Future of Creative Work provides a unique overview of the changing nature of creative work, examining how digital developments and the rise of intangible capital are causing an upheaval in the social institutions of work. It offers a profound insight into how this technological and social evolution will affect creative professions.
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Edited by Satish Nambisan, Kalle Lyytinen and Youngjin Yoo

Digital innovations influence every aspect of life in an increasingly digitalized world. Firms pursuing digital innovations must consider how digital technologies shape the nature, process and outcomes of innovation as well as long- and short-term social, economic and cultural consequences of their offerings. This Handbook contributes to a transdisciplinary understanding of digital innovation with a diverse set of leading scholars and their distinct perspectives. The ideas and principles advanced herein set the agenda for future transdisciplinary research on digital innovation in ways that inform not only firm-level strategies and practices but also policy decisions and science-focused investments.
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Joel Cutcher-Gershenfeld

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Annabelle Gawer

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Varun Grover

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Paul N. Courant

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Kenneth A. Loparo