Managing Highly Contextualized Data for IIoT

Managing Highly Contextualized Data for IIoT

Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns…

Enhancing Industrial IoT with Predictive Analytics

Enhancing Industrial IoT with Predictive Analytics

Predictive analytics are revolutionizing how Industrial IoT (IIoT) businesses manage and maintain their equipment. Predictive maintenance, a key application of predictive analytics, is pivotal in preempting failures and enhancing operational efficiency. By leveraging advanced data pipelines…

Why You Need a Time Series Database for Predictive Maintenance

Why You Need a Time Series Database for Predictive Maintenance

In the industrial sector, unplanned downtime can lead to significant financial losses. Predictive maintenance offers a solution to this problem by identifying potential issues before they cause disruptions.One crucial component of an effective predictive maintenance system…

Is predictive maintenance at a dead end?

Is predictive maintenance at a dead end?

Predictive maintenance has become a standard phrase in the equipment business and it is taking hold with OEMs. However, maintenance teams are not seeing much use for it. For them, “predictive maintenance is like chasing one’s…

How to Calculate and Reduce Cycle Time

How to Calculate and Reduce Cycle Time

When it comes to production environments, it’s always a question of how much can be produced, how quickly, and at what cost. At the end of the day, how efficient are we? Cycle time is one…

The importance of Analytics for business

The importance of Analytics for business

Knowing how to manage and process data, information, is an asset of the digital enterprise. That’s why analytics tools are becoming increasingly important in the manufacturing sector. As highlighted by Gartner in one of its Magic…