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AI for Decision-Making in Connected Business

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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.

Keywords

AI/ML systems Connected devices Data Trust in AI Business value Decision-making 
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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.University St. GallenSt. GallenSwitzerland
  2. 2.Zühlke GroupZürichSchweiz

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