Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. AI for decision-making in connected business
Details

AI for decision-making in connected business

ISBN
978-3-030-76896-6
Type
book section
Date Issued
2021-08-12
Author(s)
Haefner, Naomi  
;
Morf, Philipp
Editor(s)
Gassmann, Oliver  
Ferrandina, Fabrizio
DOI
10.1007/978-3-030-76897-3_12
Abstract
With a growing number of connected devices producing exponentially more data, the value of artificial intelligence and machine learning (AI/ML) is increasing rapidly for businesses. We outline the value add of AI/ML for decision-making in firms and present use cases and tools to generate data-driven value. We discuss various implementation challenges and solution approaches. Successfully executing on AI/ML applications hinges on preparing the company, managing the portfolio of projects, using interdisciplinary teams, establishing strong technical foundations, and, importantly, generating trust in AI/ML throughout the system lifecycle.
Language
English
HSG Classification
contribution to practical use / society
HSG Profile Area
Global Center for Entrepreneurship + Innovation
Book title
Connected Business
Publisher
Springer
Publisher place
Cham
Official URL
https://link.springer.com/chapter/10.1007/978-3-030-76897-3_12
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/110118
Subject(s)

business studies

Division(s)

ITEM - Institute of T...

Eprints ID
263799
File(s)
Thumbnail Image
Name

978-3-030-76897-3_12

Size

89.86 KB

Format

HTML

Checksum (MD5)

3e50b1255105d5a53de020c0797cab1f

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify