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 and machine learning models,

MAJiK Systems creates software that helps manufacturing and industrial engineering companies improve their factory operations using data-driven manufacturing methods. The company designs a full suite of Visual Factory tools that use data from the machines themselves to power AI-driven insights. The

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 a time series

In the bustling arena of the industrial landscape, the repercussions of unplanned downtime resonate deeply. According to a study by Aberdeen Research, unplanned downtime can cost a company as much as $260,000 an hour. Such challenges have been a persistent

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 own tail” – a

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 of the best measures we

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 Quadrant for Analytics and Business

In countless applications that track live systems, real-time analytics play a key role in identifying problems and uncovering new opportunities. They enable data and operations managers to respond fast enough to make a difference in the moment. The need to

Today the Cloud represents the fruition model that makes Information Technology increasingly ready to respond to rapid changes in the context. Organizations are increasingly “data-driven”, and Data Analytics, a set of quantitative and qualitative approaches to obtain “valuable insights” from data,