A study shows how intelligent monitoring systems enable real-time data collection and predictive maintenance in oil drilling operations. By ...
Uptake, a predictive analytics software-as-a-service (SaaS) provider, is teaming with Daimler Truck North America (DTNA) to enable the use of data-as-a-service (DaaS) technology to power Uptake Fleet, ...
Moving from reactive to predictive maintenance requires the right tools for use by subject matter experts. As the power industry continues to advance from preventative to predictive maintenance, one ...
The Power of Predictive Analytics: How Data Can Transform a Facility’s Maintenance Strategy & Safety
In today’s fast-paced industrial landscape, the effective use of data has become a game-changer for facility management. Data-driven insights are not just about improving efficiency. They’re pivotal ...
MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...
Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...
Predictive analytics: the ability to use well documented historical and accurate data to improve future logistics or fleet maintenance operations. Data — especially quality data — is the key to ...
A new survey of critical transportation and military operators found three-quarters of rail leaders reported that their current tooling fails to provide the access and observability needed to conduct ...
Unplanned downtime costs businesses millions. At a time when rising operational costs are putting intense pressure on businesses to become more efficient, the revenue and productivity losses from ...
The faster relevant operating and performance data comes to data scientists, the better predictive maintenance models can be. Engine OEMs have been working on predictions, analysis and speedy data ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
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