Alleantia - NewsRoom

In modern industries, machine data is important for making decisions and improving operations on the shop floor. This helps companies stay competitive and improve their processes. 

Unify machine data structures, combine machine data with other data sources in real time, create standardized data models.

These are the main challenges for Industrial companies to build a ‘digital shopfloor’, achieve a complete and consistent view of operations and performances, and building actionable information supporting a truly data-driven company.

In MEA, Europe and North America, manufacturers share a common objective: avoiding downtime in their production lines and maintaining a competitive advantage through innovation while ensuring environmental sustainability.

The first solution for legally compliant identification and certification of data in the IoT industry

IoT device connectivity enables an environment in which industrial assets can communicate with each other and cooperate to optimize the entire production process. What are the challenges?

The Message Queuing Telemetry Transport (MQTT) protocol is a lightweight and scalable messaging widely used in the Internet of Things (IoT) Let's go to discover what are the advantages of MQTT protocol. 

The European Commission has outlined a new industrial, social and political approach called Industry 5.0, which represents a threefold challenge for European industry: protect, prepare, and transform.

It is critical to differentiate between "smart factory" and "smart manufacturing" and comprehend the advantages they present to manufacturing companies interested in implementing cutting-edge digital technologies.

Intelligent edge technology can offer companies the ability to make decisions based on real-time data without the need to send it to a central platform.