Название: Artificial Intelligence for Business
Автор: Ana Landeta Echeberria
Издательство: Palgrave Macmillan
Год: 2022
Страниц: 210
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book seeks to build a shared understanding of Artificial Intelligence (AI) within the global business scenario today and in the near future. Drawing on academic theory and real-world case studies, it examines AI’s development and application across a number of business contexts. Taking current scholarship forward in its engagement with AI theory and practice for enterprises and applied research and innovation, it outlines international practices for the promotion of reliable AI systems, trends, research and development, fostering a digital ecosystem for AI and preparing companies for job transformation and building skills.

The acquisition, management, processing and improvement of knowledge, as well as the effective and efficient treatment of huge amounts of data, big data using learning techniques, have become a very important function of information systems applications within organizations for solving problems with Artificial Intelligence. Rapid technological progress has been made both in knowledge-based systems, including expert systems, modes reasoning and knowledge acquisition and management, as in Artificial Neural Networks, and its construction methodologies, which is essential in order to deal , respectively, with knowledge assets and huge amounts of data in organizations currently. The Chapter 2 relates knowledge-based systems and artificial neural networks for the management and increase of organizational knowledge and specifies different rules, methods, techniques and strategies that can be adopted by companies for the successful implementation within Artificial Intelligence applicability scenario.

This book will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.

Contents:
1. The Foundations of AI
2. AI: Methods and Techniques. Knowledge-Based Systems
3. The Impact of AI on Business, Economics and Innovation
4. AI Implications for the Future of Work
5. AI Integration in the Digital Transformation Strategy
6. Case Studies of Real AI Applications
7. Technological Singularity and Ethical Issues of AI




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