Existing maintenance solutions limit production. With the legacy tools and processes at their disposal, manufacturers commonly take reactive or scheduled maintenance approaches that present a multitude of challenges: Existing Maintenance approaches are costly: Up to $1.3M per hour cost of downtime in auto

The manufacturing sector is facing a myriad of challenges, but they all point in one direction – improving the bottom-line performance. Within the energy sector, one of the most important drivers is to increase operational efficiency. Asset management is key

The World Health Organization’s (WHO) announcement about Covid – 19 reaching pandemic levels triggered responses across the industrial world. In industrial manufacturing, shop floor activity hit its lowest levels since the Second World War and in many cases manufacturing facilities

Predictive Maintenance allows you to offer new services to customers, where you use realtime data and insights from your deployed base of units to distance yourself from the competition and create enhanced customer value. Predictive Maintenance (PdM) is the ability to

The number of possible applications of IIoT grows every day, and this trend isn’t likely to change anytime soon. The latest numbers estimate that the combined IoT markets will reach a staggering $520B by 2021. An industry that is definitely being

Manufacturing relies on continuous production. Fast, accurate, real-time analytical insights are intuitively recognized as valuable. Many decisions must be made in real-time, so having real-time data will naturally improve those decisions. Actionable, up-to-date metrics create many new benefits, including: Improved OEE

When it comes to collecting data with industrial IoT within the world of manufacturing, it isn’t just about quantity. It’s also about the quality of the information that you are gathering from various machines; data that enables you to analyze

An issue in manufacturing that is singular to machine builders is the speed with which they can respond with service to the machines, in the case of a failure. In the past, this has usually meant an actual failure has

A go-at-it-alone approach won’t work Of all the new capabilities that manufacturers can gain by adopting Industrial Internet of Things (IIoT) technology, data analytics can be among the most powerful—and the most challenging. Manufacturers make things and, as such, they’re accustomed