Data-driven approach and industry: how and why it improves industrial plant efficiency
Discover how and why a data-driven approach improves the efficiency and performance of processes, products, and assets in the industrial plant.
Discover how and why a data-driven approach improves the efficiency and performance of processes, products, and assets in the industrial plant.
Thanks to IIoT and AI platforms, it is possible to achieve intelligent maintenance of industrial machinery that reduces downtime and increases productivity.
In the era of Industry 4.0, AI and IIoT are the drivers behind OEMs’ industrial innovation. Thanks to them, it is possible to improve factories’ production processes and increase the companies’ competitiveness.
Data orchestration involves the harmonization of data in the company silos in order to obtain valuable information and make data-driven strategic decisions.
Edge AI software helps to optimize the management of electric vehicle charging stations.
Machine learning algorithms, AI and IoT devices: the recipe for innovating the vending sector is CLEA, a concentrate of hi-tech, data analysis and customer experience.
What does it mean to be a data-driven company? At the basis of the concept is a data culture. Here is why it is essential.
Production data collection must lead to the development of a more sustainable factory in which AI, IoT and a cloud support the transition path.
Processing data via edge computing directly where it is detected has great benefits for healthcare. Here are some examples.
The characteristics of the ideal smart device for the productive world? Ease of integration, maximum efficiency, flexibility and above all safety.