Drive Efficient Maintenance Operations with Connected Maintenance

Leverage advances in the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) to make smarter decisions and drive efficient maintenance operations in the cloud. Increase equipment reliability and uptime while managing and reducing overall maintenance costs by moving to a predictive maintenance model. Drive optimized supply chain management and improved customer experiences with real-time insights from connected assets.
 

Smart Decisions with AI and ML

Automatically generate recommendations to optimize maintenance schedule that maximizes machine uptime using adaptive intelligence and machine learning.
 

Connected Maintenance with IoT

Connected assets allow you to better anticipate ongoing downtime and maintenance needs. Improve the operational efficiency of physical assets, uptime, and productivity.
 

Optimized Operations with Real-Time Actionable Insights

Optimize business process and reduce operations costs and risks with data-driven decision making in real time.
 

Predictive Maintenance with Digital Twins

Facilitate predictive maintenance with digital twins, providing a complete real-time model of the assets and their performance. Predict equipment failures and improve overall equipment effectiveness.
 

Highlights

Implementing Oracle Maintenance Cloud: A Webcast
Join The Wonderful Company, Oracle, and VIZIYA to learn why companies are choosing to move to Oracle Maintenance Cloud.
Oracle IoT Production Monitoring Cloud for Industry 4.0
Achieve tomorrow's maintenance today by holistically combining all elements of Industry 4.0 and drive automation with IoT.
Oracle IoT Asset Monitoring Cloud
Proactively monitor and maintain assets based on early detection and predictions to ensure uptime and extend asset lifecycles.
Oracle OpenWorld 2019
Join us in September and learn how to do more with your applications, adopt new technologies, and network with product experts and your peers.

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