Beyond the Hype: Building an AI-Ready Enterprise Asset Management Strategy

Manufacturers are investing heavily in AI, analytics, condition monitoring, and asset management technology—but technology alone doesn’t create more reliable operations.

The real value comes when those capabilities rest on a strong asset management foundation and connect to the processes and people who turn insights into action.

In this IndustryWeek roundtable, experts from Allied Reliability and Octave explore what it takes to build an AI-ready enterprise asset managementInformation system that integrates all asset-related applications for an entire enterprise. Incorporates at least maintenance management, financial / budgeting, materials management, and reliability functionality. strategy—from understanding asset criticality and failure modes to applying technology where it creates meaningful value and ensuring insights ultimately result in better maintenance and operational decisions.

Viewers will learn how to:

• Identify the foundational elements required before scaling AI and advanced asset management technologies
• Determine where AI and analytics can create meaningful value across the asset lifecycle
• Connect asset intelligence to maintenance planningDetermination of resources needed and the development of anticipated actions necessary to perform a scheduled major job. An orderly appraisal and guarantee of all the prerequisites necessary to ensure completion of a given job at a predetermined time. It covers availability of ordered equipment, stores, materials, production, shutdowns, sketches, prints, specifications, etc., work execution, and operational decisions
• Avoid common pitfalls that cause technology and reliability initiatives to stall
• Start small, demonstrate value, and build a path toward enterprise-scale adoption