This solution helps energy and resource companies increase uptime and reduce maintenance costs through AI-driven predictive analytics. By securely exchanging IoT sensor data across operators, OEMs, and service partners, organizations identify failure patterns earlier and automate parts procurement. Page 1 includes stats showing downtime losses averaging $253M annually for large plants and IoT growth to $137B by 2030. AI models analyze equipment history, operating conditions, and component failure rates, enabling 10–20% uptime increases. Intelligent assistants accelerate issue resolution by providing instant access to engineering content and safety procedures.

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