Docker brings enormous flexibility to application development teams: it gives them the freedom to develop in the programming language of their choice and deploy them easily without worrying about the final hardware on which they will run. It also simplifies the maintenance and version control of the applications themselves, which is very useful for homogeneous deployments in distributed environments.

The Consortium created by Barbara, RKL and Keynetic will develop the "Global Safey and Security Center " for Puertos del Estado with the mission to manage the physical and logical security of ports with Machine Learning and Artificial Intelligence techniques. Discover more.

The IoT device is by far the most vulnerable element in the entire security chain. And the main reason is the lack of firmware updates.

Barbara IoT publishes the first Industrial Edge Computing Barometer, a report to help understand the degree of development of this technology in Spain.

What differentiates the industrial world (OT) from the IT world and why is the feeling of insecurity increasingly high in industrial companies? The answer lies in the inability of industrial companies to update software and firmware.

Edge AI has emerged as a game-changer technology for the Industrial World. Industries with highly distributed critical assets will be the great beneficiaries of taking advanced computing to the Edge.

The project, which started mid-2021 is part of the Missions program funded by the Ministry of Economic Affairs and Digital Transformation within the IA4TES MIA 2021 project, aims to develop advanced Artificial Intelligence technology in the energy sector, both in renewable generation, networks and at the customer level.

ONNECTED project seeks to digitise, connect and enable the communication of all equipment in the HORECA and Industrial Laundry sector in a cybersecure manner. Supported by AI and Big Data, manufacturers can now incorporate sensors, software and wireless connectivity to add new features to their products and differentiate them in the market.

New technologies are changing maintenance techniques. In just five years, predictive maintenance has gone from an uncertain use case to a fast-growing application with a clear return on investment.