Case Study: Predicting Failure for Critical Shipboard Assets

May 16, 2018

Whether ship operators are transporting valuable cargo or ensuring thousands of guests have a safe, enjoyable cruise, it is critical for them to invest in systems and methods that limit their exposure to asset failure. Taking cues from other industries, operators are looking at sensor data generated by shipboard machinery. The stakes are high: Failures at sea represent high opportunity costs, are expensive to remedy, and damage an operator's reputation with their customer case.

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Case Study: Improving Operational Efficiency and Returns in Oil and Gas
Case Study: Improving Operational Efficiency and Returns in Oil and Gas

To remain competitive and maximize returns, oil and gas companies must utilize the massive amounts of data ...

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Case Study: Predicting Maintenance and Production in Oil Wells
Case Study: Predicting Maintenance and Production in Oil Wells