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New digital technologies are transforming the way companies approach maintenance management. Oracle Maintenance Cloud utilizes the Internet of Things (IoT), AI, machine learning (ML), big data analytics, and blockchain to enable decisions in real time that drive efficient maintenance operations, increase equipment reliability, uptime, and safety, and reduce overall costs.
Automatically generate recommendations to optimize maintenance schedules that maximize machine uptime using AI and ML.
Better anticipate ongoing downtime and maintenance needs with connected assets. Improve the operational efficiency of physical assets, uptime, and productivity.
Optimize business process and reduce operations costs and risks with data-driven decision making in real time.
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.
The power of machine learning is being able to analyze millions of characteristics, predict if a machine or process is going to break down, and then avoid making bad parts.
Precision Group's CIO explains how this leading manufacturer is using Oracle Cloud to modernize their systems and increase efficiency, flexibility, and end-to-end visibility into their manufacturing and supply chain operations.
The Wonderful Company discusses how moving to a single cloud platform enables it to benefit from emerging technologies like AI and blockchain.
Scott Rogers, founder and technology director of Noble Plastics, explains how Oracle Cloud provides actionable insights that allows them to be more competitive and better serve their customers.