AI Applied Radar: AI Applied To Asset Maintenance Management
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Executive Summary
This report provides a comprehensive assessment of AI-augmented use cases for asset maintenance management, helping asset maintenance leaders to assess each use case’s trustworthiness, business value and operational viability. The Verdantix AI Applied Radar evaluates a range of AI-driven solutions, using proprietary information obtained from expert interviews, global surveys and technical review. Verdantix categorized use cases based on levels of market adoption and tech availability, spanning mainstream and commercialized applications such as applying AI to predict asset failures, to emerging areas such as failure modes and effects analysis (FMEA) and failure modes, effects and criticality analysis (FMECA) library automation. The Radar provides actionable insights for asset maintenance leaders seeking scalable, high-impact AI adoption, as well as vendors providing AI capabilities.About the Authors
Jatinder Devgun
Senior Analyst
Jatinder is a Senior Analyst at Verdantix, providing insights on emerging technologies and market dynamics for technology buyers and software vendors. His expertise lies in as...
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Malavika Tohani
VP Research
Malavika is a VP Research at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more efficien...
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