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Artificial Intelligence for Business

Name: Artificial Intelligence for Business
Keywords: Technology, Digital business, Disruptive technology, Digital strategy, Innovation management

descriptionPublicationkeyboard_double_arrow_right Book 01 Jan 2022 Spain English Publisher:Springer Nature

Authors: Landeta Etxeberria, Ana; de las Heras García, Aránzazu; Lizcano, David; Pazos Sierra, Juan; Álvarez López, José Antonio;

handle: 20.500.12226/1095

Artificial Intelligence for Business

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Abstract

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

2021-22

Country

Spain

Related Organizations

Universidad a Distancia de Madrid
Spain

Keywords

Technology, Digital business, Disruptive technology, Digital strategy, Innovation management

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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