David Purón

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.

As the market moves from proof of concepts to large multi-application deployments that require scalability, different technological alternatives emerge at the Edge. In this article, we explore the foundation for a successful Edge Computing project.

Edge computing, or the ability to store and process data on servers close to the source or destination of that data, is becoming increasingly fashionable. The IT world has been using it for years with regional data centers that serve content more efficiently. What is new today is the beginning of its incursion into industrial environments.

Industrial IoT is transforming the way plant environments operate by enabling hyper-connected networks that provide value through smart factories, predictive maintenance, energy management, remote monitoring, and more. This technology empowers industries to optimize productivity, increase efficiency, and reduce costs.

The digital twin is one of the main topics of discussion about connected industry or industry 4.0. There are sectors where they are now not only a reality, but a key part of operations. Manufacturing uses digital twins in their day-to-day operations, helping to operate machinery, monitor material, predict behaviour, or plan tasks, using a virtual copy of the systems involved, and thus saving hundreds of field visits.

In this future context, where neither production nor distribution are optimally guaranteed, all eyes are on the so-called Active Demand Management or "Demand Response" mechanisms, which could be translated into English as "demand response".

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.

It is time to take stock of this year, in which, with the support of our new partners, we can proudly say that it has been the best year in the history of the company.

The railway sector is one of the most complex industrial environments in terms of digitization. Technically, it presents a multitude of obstacles that make it difficult to integrate existing systems into modern digital architectures, which explains its low digitization. Edge Computing can be the answer to many of its challenges.

Data Sovereignty is the ability of individuals, corporations or governments to decide how, for what purpose, and at what price third parties can use their data. In this sense, the energy market is currently the one that can benefit the most from a data sharing sovereignty environment.

IoT Edge Computing has the potential to transform the energy industry through its ability to process large amounts of data in real time ultimately improving the operational safety and efficiency.