How can the water industry benefit from IoT Edge and AI? IoT is one of the technologies that has made a strong entry into the water industry, developing solutions rich in monitoring, analytical, and automation features. Meanwhile, Artificial intelligence (AI) is making its mark on the water industry, powering intelligent operations using machine learning to optimize resource use and operational budgets for organizations.

In IoT deployments, it is common to hear the term Edge. Many IoT solution vendors, especially in the industrial environment, acknowledge the capabilities of the Edge to generate business value. But what is IoT Edge and what is its relationship with Edge Computing?

Industrial servitization is a hot topic right now as new technologies emerge that harness real-time data. In an increasingly competitive market servitization is the way to open new business lines, improve customer loyalty and, in addition, comply with sustainability goals. Manufacturers can now make a profit from services by making their products last longer and avoid waste as much as possible. They can also recycle parts of broken products for reuse or recycle an integral part of these services.

At Barbara, we believe that industry transformation can not be accomplished by a single company. Our view is of a Community of AI developers, hardware manufacturers, industrial system integrators and other technology partners, that join forces with us to make the most of our technology so that we can altogether respond with a comprehensive solutions to the most complex problems.

In this post we reveal everything you need to know about Smart Grids, the intelligent electricity distribution networks that efficiently integrate the behavior and actions of all users connected to it.

Today we are talking about the fifth of these revolutions, one more so far in the 21st century. It is Industry 5.0, and it is marked by a return to the value of the human, without losing one iota of all the technology that has been incorporated into our lives, or rather, by the collaboration between these machines-robots-artificial intelligence and people.

Cybersecurity is increasingly becoming a fundamental part of every company's strategy. For industrial companies operating with state-of-the-art technology, security is a key business element as these are infrastructures that can be "critical" in the event of a cyberattack if they do not have a medium-term digital plan. Something that could be solved with cybersecurity systems based on artificial intelligence at the edge.

One of the main applications of artificial intelligence in industrial environments is predictive maintenance. If before there was a human maintenance team, with protocols and routines for 'review and monitoring' (and repair if necessary) of each segment or area of the production chain, AI can do it much more accurately and with fewer resources.

Artificial Intelligence (AI) is the greatest catalyst for technological innovation in history, with countless applications in the energy sector. Key examples are the optimisation of production and storage, smart market trading, consumer savings and efficient consumption models for reducing carbon footprints, among others.