Data is the fuel of the digital economy, but just as fuel needs the right machinery to be transformed into energy, large amounts of information require technology to be truly useful for people and organizations. At GNOSS we know that everything is linked, that behind the sea of ​​data in which we navigate there is knowledge available to be used in an effective and efficient way.

Machines, to be truly intelligent, need to understand the large amount of data available, understand which entities are the protagonists of the information and what relationships exist between them. At GNOSS we help them in this process through knowledge graphs, which is why we say that we build “the mind of computers”, we manufacture the symbolic AI that serves as the basis for all subsequent developments.

We know that in the digital environment everything is linked, but discovering the relationships between the available Big Data is not within the reach of the human being and neither, from the outset, within the reach of machines. First, it is necessary for computers to be able to identify the different entities scattered in the ocean of databases: people, places, institutions, themes, moments, etc. Then it is the turn to find the links that link each other.

To find those links that unite an entity with its context and with other entities, we build knowledge graphs, technology that allows machines to understand the data, convert it into questionable and easily accessible information. It is on this layer of AI that we can offer technological solutions appropriate to the needs of organizations.

Good ideas usually emerge when we are able to properly relate various concepts. While immersed in a bathtub, Archimedes discovered the link between the volume of a submerged body and its buoyant force and yelled "Eureka!" Now, thanks to technological development, knowledge graphs facilitate the succession of what we call Eureka moments.

We have large databases and we know that everything is linked. At GNOSS, we manufacture the right technology to recognize those links that turn Big Data fuel into energy to power organizations.