AI predictive maintenance: Predict downtime. Protect uptime. Maximize every asset
Turn downtime into ROI with AI-powered maintenance
Use predictive analytics—driven by real-time data automation—to reduce equipment failures, extend asset life, and lower TCO
Ebook
Intelligent predictive maintenance: Unlocking operational excellence and sustainability
Enable technicians, bolster operations, and prevent unexpected downtime
Continuous uptime
Maintain equipment 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.
Scalable analytics
Process massive IoT data at speed
Gain real-time visibility with OpenText™ Analytics Database (Vertica). Process IoT sensor data at scale and run predictive models faster than ever, directly where your data lives.
Lower TCO
Repair and replace less often
Turn raw data into actionable insights with OpenText™ Intelligence (Magellan). Analyze equipment and sensor data, detect failure patterns early, and optimize maintenance to reduce downtime and costs.
Predict issues. Prescribe repairs. Prevent downtime. See proactive maintenance in action
Our OpenText Analytics Database-powered predictive maintenance system, built on vast amounts of data and advanced AI models, allows us to detect and address potential issues before they impact clinical operations. This improves the reliability of our equipment and enhances patient outcomes and satisfaction.
Bring in advanced analytics and IoT data to enable an intelligent maintenance practice with technology from OpenText
Frequently asked questions
AI enhances predictive maintenance by analyzing vast amounts of sensor and historical data to detect patterns and anomalies. This enables more accurate predictions and prescriptive actions, improving asset reliability and operational efficiency.
OpenText leverages AI, machine learning, and real-time analytics to go beyond scheduled maintenance. It offers prescriptive insights, integrates with existing systems, and scales across industries with a blazing fast query speed for high-performance analytics.
Key benefits include reduced unplanned downtime, extended equipment lifespan, lower maintenance costs, improved safety, and optimized resource allocation.
