Trend for Infrastructure Monitoring incorporating CPdM is the new coming trend. For all the enterprise, from small, medium to large, all require some sort of IT infrastructure monitoring solution in place to automated monitoring for the performance and availability, to make sure enterprise know exactly what is going on and can make proactive decision or
Cognitive Predictive maintenance (CPdM) In Automotive is aiming to clearly identify vehicle maintenance issues before they occur. In line with the trend toward autonomous vehicle, by extracting data from repairs with vehicle sensor data, predictive data analytics can find some useful correlations that would be hard for humans to identify. Most 21st century “smart” cars
The oil and gas sector is a complex industry with challenging demands. Along with the fact that professionals and installations are operating in remote and hostile environments, it is becoming more and more expensive and difficult to extract energy. Business owners have been forced to look for opportunities to maximize investments, lower costs and mitigate
Cognitive Predictive Maintenance (CPdM) in Transportation is focusing on targeted servicing and monitoring. Against this background, transportation companies are looking for new and improved ways to reduce downtime and make the best possible use of available resources and also to reduce cost. Below is the reason why a Transport industrial need to use Cognitive Predictive
Cognitive Predictive Maintenance (CPdM) in the systems of the organization is not new right now and it gives a big impact on the systems especially for manufacturing Industrial. So The age of smart manufacturing is here, aided by digital innovations such as the Internet of Things (IoT), artificial intelligence (AI), data analytics, machine learning (ML)
Introduce Of Cognitive Predictive Maintenance (CPdM) in the systems of the organization is not new right now. So what is cognitive predictive maintenance? Cognitive Predictive Maintenance (CPdM) is synonymous with prescriptive maintenance, where computer programs recommend responses to emergent operational deficiencies in order to prevent them from snowballing into full-blown failures. These recommendations are based