Manual searches bottlenecked diagnostics. AI now scans 1,700+ docs to give operators instant, multilingual troubleshooting guidance.
A global manufacturing solutions provider with 140,000 employees across 100 sites, serving 400 brands in industries from automotive to healthcare.
Machine data was siloed across individual facilities, preventing centralized analytics and cross-domain insights. Shop floor operators relied on...
“About two years ago, we revised our strategy to a 'cloud when it makes sense' approach. We developed hybrid environments, placing workloads in the most appropriate setting—whether cloud or on-premises/edge infrastructure. While it took time to build maturity, standardization, and overcome resistance to change, cloud adoption is now widely embraced, delivering tangible value to the company.”
Electronic manufacturing services and supply chain solutions provider.
Cloud computing platform and on-demand infrastructure services.
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Repair intel was scattered across binders and retiring minds. GenAI now combines sensors and manuals to diagnose machine faults instantly.
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Before: Hand-tagging data bottlenecked service. After: AI agents solve issues autonomously, saving 15 minutes per request.
Patent strategy relied on subjective manual judgment. AI now standardizes analysis, cutting research cycles from months to days.
IT staff logged in every six hours to check 30 systems. GenAI now automates monitoring, saving 3,000 hours and ending downtime risk.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.