Industry 4.0/Industrial IoT

Crosser and Kafka is a powerful combination of simplicity and functionality for building streaming data pipelines. The combined solution makes it easy to connect and collect data from various sources, and to integrate and send to various systems and services.

Edge Analytics and Intelligent ERP Integrations. Providing a full view of the entire palletizing process.

The promise of Industry 4.0 sets new expectations for the traditional service bus architecture. The service bus now needs more functionality than before. There is a need for an intelligent integration layer that can run real-time applications and workflows with full data analytics capabilities included.

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.