Could AI prevent your next asset failure?
Predictive analytics elevates your maintenance engine — yielding fewer asset failures, longer lifespan, and lower TCO
Intelligent maintenance: Keeping the connected economy up to speed
Master predictive maintenance with IoT data analytics and AI
End unplanned downtime: Predict issues before they hit
Enable technicians, bolster operations, and prevent unexpected downtime
Continuous uptime
Maintain equipment proactively before it fails
Prescriptive maintenance not only predicts failures but recommends how to prevent them—by adjusting machine settings, ordering parts, or scheduling technicians. Optimize maintenance scheduling to save 20–30%[1].
Asset longevity
Extend equipment lifespan and save
Predictive and prescriptive analytics can extend asset lifespans by 20–40%[2], reducing the need for replacements. Companies experience fewer breakdowns and smoother, more reliable operations.
Enabled technicians
Repair faster with real-time data
Equip your techs with the information they need to enable proactive maintenance. Arrive prepared with the right asset components. Feed AR / VR systems for an optimal technician experience.
Lower TCO
Fewer repairs and replacements
Get more from your existing equipment. Repair proactively to reduce failures and replace less often. Save on capital expenditures and on labour, thereby reducing TCO and improving equipment ROI.
Predict issues. Prescribe repairs. Prevent downtime. See proactive maintenance in action
Philips Healthcare is moving from reactive to data-driven, proactive maintenance, utilizing new sources of sensor data along with machine learning models to enable scheduled, predictable and non-intrusive service actions.
Bring in advanced analytics and IoT data to enable an intelligent maintenance practice with technology from OpenText
OpenText™ Analytics Database
Analyze massive data sets with minimal compute and storage
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OpenText™ Data Discovery
Quickly access, blend, explore, and analyze data with drag-drop ease
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OpenText™ Intelligence
Improve decision making with self-service, AI-driven intelligence
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