Industry 4.0 / Industrial IoT

Industry 4.0 is based on the convergence of OT and IT using modern technologies that are significantly easier to use and faster to deploy in order to extract business value from integrating machine data, shop floor data, enterprise data and cloud applications.

OSIsoft PI System is one of the most widely deployed solutions for capturing and storing machine data within manufacturing, energy, utilities, pharma, transportation and facility management. 

The use of machine learning (ML) models is becoming more and more common in industrial IoT applications, especially for use cases such as anomaly detection and predictive maintenance. ML models are typically trained in the cloud using large stored datasets and iterative processing on powerful servers.

Kepware is one of the leaders in industrial connectivity, by providing drivers for almost any type of machine-level protocol. The main use case is to collect data from machines and deliver it to centralized platforms for analysis - but what if you want to take action on your data already on the factory floor? This is where Crosser comes in.

Using video cameras as sensors in industrial IoT applications is becoming more and more popular. The reason is of course that it opens up for many interesting applications.

The announcement of an open machine learning (ML) strategy gives customers full freedom to deploy their favourite machine learning framework in the edge.

Extracting valuable insights out of data collected from machine sensors can be hard, often requiring analyzing data from many sensors in parallel.
Due to the complexity, machine learning (ML) methods are becoming more and more popular to analyze these datasets.

If you are in manufacturing, process industry, oil & gas or other asset-rich industries with many machines & equipment there is a good chance you are thinking about how to leverage this data in a better way. Either to gain insights to improve your processes or for optimizing your maintenance for an improved uptime.

To be locked in or not to be locked in. That is the question facing many IoT project owners when it comes to the technology stack. But there is a smart way of solving the problem.

Contrary to what you might think, you don’t need cloud providers or platforms to run your enterprise IoT project.