Industry 4.0/Industrial IoT

One of the biggest challenges that Enterprises have in their efforts of digitalization is the fact that they have too many, and complex, data silos. Another is that they have a patch-work of applications that don't follow a common architecture. The promises of Industry 4.0 / Industrial IoT are significant...

The IoT and AI are separate technology trends that are both making waves in industry. However, when joined together, the two technologies are capable of delivering intelligent, connecting systems that can self-correct and self-heal themselves — forming the Artificial Intelligence of Things (AIoT).

New requirements have made older integration solutions obsolete. The Hybrid Integration Platforms of tomorrow need to meet some key new requirements.

Can Edge Analytics help manufacturers seize Industry 4.0's promise of revolutionizing industry?

Rubble Master, a mobile crushing and screening equipment manufacturer, put this question to the test when it sought to do more with its equipment data-. Read the case study.

Working with many customer projects over the last years we have learnt that a key success factor is to start with small projects that are easy to implement and finish and then gradually build up to the more advanced/complex use cases. That is, eat the elephant in pieces, don’t try to swallow the whole elephant at once.

A common problem in our industry is data mismatch, data from different sources, to send it to other systems that expects data in another format. These situations are where data transformation and harmonization

An important use of machine data is to calculate different KPIs to measure the performance and behaviour of machines or processes. Edge analytics is a perfect tool both for collecting the relevant data and calculating

In this blog we will discuss how you can build a modern historian by combining best-of-breed tools in a flexible and efficient way.