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InfoResearchPeer-reviewed

Successfully Mitigating AI Management Risks to Scale AI Globally

Source
AIS eLibrary (Journal of AIS, CAIS, etc.)(opens in a new tab)
Published
Record updated
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Summary

Many firms struggle to scale generative and predictive AI systems because machine learning-based mechanisms amplify general technology management challenges and create new ones. Based on an in-depth case study of Siemens AG, the authors describe how to mitigate five critical technology management risks to scale AI globally, and offer recommendations for creating company-wide business impact.

Mitigation

The source text states that the authors describe how to mitigate five critical technology management risks to scale AI globally and provide recommendations for company-wide business impact, but it does not list the specific mitigations in the excerpt provided.