Artificial intelligence for business: innovation, tools and practices

Contributor(s):

Echeberria, Ana Landeta

Material type: Text

TextPublication details: Springer Cham 2022Description: xx, 196 pISBN:

9783030882402

Subject(s):

DDC classification:

650.028563 ECH

Summary: 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. (https://link.springer.com/book/10.1007/978-3-030-88241-9#about-this-book)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	650.028563 ECH (Browse shelf(Opens below))	1	Available		005539

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Previous	650 URB Digitalization cases: how organizations rethink their business for the digital age	650.0285 HOD Business analytics using R - a practical approach	650.02855369 WIN Microsoft excel 2013: data analysis and business modeling	650.028563 ECH Artificial intelligence for business: innovation, tools and practices	658 DUB Emerging technologies for effective management	658 PAL Trust, digital business and technology: issues and challenges	658.008 KOS Decision making essentials: you always wanted to know	Next

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.

(https://link.springer.com/book/10.1007/978-3-030-88241-9#about-this-book)

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