Data Quality And Bias in AIOps for Hospitality Operators: Post-Pandemic Lessons

Dissertation 4.5

Data Quality And Bias in AIOps for Hospitality Operators: Post-Pandemic Lessons

Pages

Chicago

Style

~ 28–39 mins

Reading Time

AIOps Cybersecurity Epidemiology

Abstract

This dissertation investigates “Data Quality And Bias in AIOps for Hospitality Operators: Post-Pandemic Lessons” using a social network analysis. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Data Quality And Bias in AIOps for Hospitality Operators: Post-Pandemic Lessons

ABSTRACT

Data Quality And Bias in AIOps for Hospitality Operators: Post-Pandemic Lessons is unpacked across themes: benefits, scalability, ethics, and risks. Limitations and future research paths are noted.

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