Resilient-by-Design Maintenance AI: Integrated in IFS, Robust on Nutanix - with CGI
In high-tempo operations, readiness is won—or lost—in maintenance. This 45-minute session shows what “operational AI” looks like when it’s built for maintainers, not slides: AI that turns messy logs and work orders into traceable, configuration-aware recommendations that improve uptime, reduce MTTR, and increase first-time-fix rates—while staying secure, auditable, and deployable under real-world constraints.
Together, IFS, Nutanix, and CGI will walk through an end-to-end maintenance AI pattern that connects shop-floor reality to enterprise execution. You’ll see how AI can help technicians and planners answer the questions that actually matter: What is the most likely cause? What’s the safest next diagnostic step? Which job plan applies to this configuration? Which parts are compatible and available? What’s the risk of delay? And critically: What evidence supports the recommendation?
What you’ll learn
- From unstructured text to actionable work: How to extract signals from maintenance logs, fault codes, and prior work orders, then propose next steps, job plans, and parts—without guessing.
- Evidence and traceability: How to ground AI outputs in approved sources (manuals, bulletins, historical WOs), show uncertainty, and produce an audit trail fit for regulated environments.
- Configuration-aware guidance: Why “same symptom” can require different actions based on asset configuration, serial/batch, effectivity dates, and service bulletins—and how to design AI to respect that.
- Secure and resilient deployment: How to run the solution robustly on Nutanix infrastructure (including options for private, hybrid, and constrained environments) while keeping controls on identity, access, and data boundaries.
- Industrialization and measurement: How to move beyond a PoC with evaluation, governance, integration patterns, and KPIs that prove readiness impact.
Hvordan er denne programposten koblet til teknologi?
A working architecture + live demo where Nutanix and IFS are the enabling platforms, and the AI layer is the differentiator.
