7 posts tagged “AI Assist”

When something is broken and the technician doesn't know why, this is where the Maximo Assistant earns its keep. How step-by-step troubleshooting guidance walks from symptom to likely cause, how AI failure-code identification recommends failure class, problem, cause, and remedy codes, how Visual Inspection folds in visual diagnosis, and how PM optimization recommends which preventive work to cut, tighten, or extend.

What the Maximo Assistant actually is, the IBM watsonx.ai foundation models that power it, and the Maximo AI Service that connects the two. A grounded introduction to generative AI in MAS 9 — including an honest map of what it does and, just as importantly, what it does not do.

The feature people mean when they say 'AI in Maximo.' How the Maximo Assistant drafts a work order from a plain-English description, replaces filter queries with natural-language asset search, and recommends field values — priority, work type, failure codes, craft — each with a confidence score you can accept, modify, or reject.

A grounded six-part series on the Maximo Assistant and AI Assist in MAS 9 — the watsonx.ai foundation, natural-language work guidance, SME collaboration and knowledge capture, guided troubleshooting, the AI Service deployment path, and the governance, data-privacy, and AppPoints decisions that gate it. Written for teams who want to know what generative AI in Maximo actually does, and what it does not.

Your best fixes live in your veterans' heads and in long-description fields nobody reads. Here's how the Maximo Assistant surfaces them — knowledge base search across manuals, SOPs, and repair narratives; similar-record detection that transfers knowledge from experienced staff to new staff; and remote technician assistance that connects the field to subject-matter experts.

How Maximo AI Assist uses watsonx.ai for natural language queries, WO creation, and field recommendations — plus Optimizer's constraint-based scheduling with route optimization. Also covers Civil Infrastructure and Parts Identifier.

A complete technical breakdown of every MAS 9 suite add-on that impacts supply chain operations — AI Assist (intelligent search, WO material recommendations, failure-to-parts mapping, document summarization), Parts Identifier (photo-based identification, catalog cross-reference, stock level checks), Health (scores driving demand predictability, replacement procurement, criticality stocking), Predict (failure timing to pre-position parts, RUL-based reservations), Monitor (condition-based orders, IoT consumption tracking, usage pattern analytics), and Optimizer (material-aware scheduling, multi-constraint coordination). The complete AI-to-parts pipeline.