Artificial Intelligence for Business
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URI: http://hdl.handle.net/20.500.12226/1095Exportar referencia:
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Mostrar el registro completo del ítemAutor(es):
Landeta Etxeberria, Ana; de las Heras García, Aránzazu; Lizcano, David; Pazos Sierra, Juan; Álvarez López, José Antonio [et al.]Fecha de publicación:
2022Resumen:
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.
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.
Palabra(s) clave:
Technology
Digital business
Disruptive technology
Digital strategy
Innovation management