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 transition from a business model of selling products to a model of selling services associated with them is occurring in all sectors. Solar energy equipment manufacturers can now jump on the servitization bandwagon and move from a solar tracker sales and implementation model to a pay-per-use model, through the constant collection and processing of data on the status of the photovoltaic plant.

As the number of connected devices increases, so does the amount of data generated. This ability to analyze data, extract insights from it and make autonomous decisions based on the analysis is the essence of Artificial Intelligence (AI) of things, also known as AIoT.

Edge Mesh proposes that all computing tasks and data be shared using a meshed network of edge devices and routers, offering many advantages, such as distributed processing, low latency, fault tolerance, greater scalability and enhanced security and privacy. These benefits are paramount for critical applications that require real-time processing, increased reliability or mobility support.

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.

Four out of ten Spanish companies will double their investments in Edge Computing by 2022. Next we will analyze: Why is this technology making such a strong impact, what advantages does it have for organizations, what is its degree of maturity in Spain and how to scale its deployment in an efficient and simple way?

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".

As part of the rise of the Industrial Internet, all machinery, transportation and facilities are being equipped with a new generation of instruments and sensors that generate petabytes of data and that, thanks to the advance of artificial intelligence and Edge Computing, make it possible to implement predictive maintenance applications with real-time responsiveness.

We are still at the dawn of Machine Learning and Artificial Intelligence in the Industry. Still, as we envision new use cases and develop them in our environment, we realise success in the future depends on the proper implementation today.