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Case Study 4.5

AIOps for City Planners: Scaling And Replication | Post-Pandemic Lessons

38
Pages
Harvard
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~ 40–55 mins
Reading Time
AIOps Epidemiology Open Banking
Abstract

This case study investigates “AIOps for City Planners: Scaling And Replication | Post-Pandemic Lessons” using a mixed-methods case study. Through a institutional lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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AIOps for City Planners: Scaling And Replication | Post-Pandemic Lessons

ABSTRACT
AIOps for City Planners: Scaling And Replication | Post-Pandemic Lessons is unpacked across themes: KPIs, equity, ethics, and scalability. Limitations and future research paths are noted.
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