The processing of all this information allows companies to predict behaviour or failures, reduce errors and improve the quality of their products.
Interoperability allows two systems, vehicles or devices from different suppliers to unambiguously interpret and understand the meaning of data, which are usually in different formats.
Every day there are an increasing number of devices: machines, sensors, vehicles, wearables and mobile phones connected to the Internet. They are continuously transmitting and exchanging data. The processing and analysis of all this information allows companies to increase their knowledge of their systems so that they can predict behaviour or failures, reduce errors and improve the quality of their products.
TECNALIA employee Sonia Bilbao took part in the 1st TECNALIA Meeting: “Artificial intelligence as a driver of digital transformation”” on February 17, and explained that "interoperability establishes the viability of communication between different systems with data in different formats, thereby enhancing digital transformation".
Four levels of interoperability
- Technical interoperability establishes the communications infrastructure for exchanging bytes, making it possible to send and receive information.
- Syntactic interoperability establishes a common data format for exchanging information that allows data to be read; messaging protocols are an example of this.
- Semantic interoperability makes it possible to give meaning to exchanged data by providing a common information model. Data needs to be annotated with a common information model, i.e. metadata needs to be added to data and data needs to be linked to other concepts in a way that provides meaning and context.
- Lastly, organisational interoperability manages the flow of messages and the integration of exchanged information into a company's business processes.
