Jaime Vélez

The digitization of industry requires interoperability for data sharing and process automation. We delve into how Edge Computing plays a critical role in achieving interoperability by executing data processing at the source, rather than sending it to a centralized location, and at the same time reducing latency, increasing security, and improving the scalability of the system.

The rise of Industry 4.0, has brought a sheer amount of data. With the advent of IoT, automation, and advanced analytics, organizations are collecting and generating more data than ever. This data has the potential to revolutionize the way industries operate and improve decision-making. However, with the vast amount of data being generated, its crucial that organizations have the ability to effectively control and manage it.

A new concept resonates in recent times among analysts and professionals in the energy sector: the Internet of Energy. It is a trend that has arisen from the urgency caused by the accumulation of events affecting a sector that is more in crisis than ever. Factors such as climate change, international conflicts, the supply crisis, escalating prices and new regulatory requirements have put the sector in the spotlight.

The digital revolution is accelerating industrial transformation. Ubiquitous innovation, global markets, and increasingly demanding customers who no longer seek just a product, but a comprehensive service tailored to their needs are forcing manufacturers to transform their business models and move from one-off sales to one of higher value-added services.

The purpose of this article is to help the industrial ecosystem (service providers, integrators,, companies...) to better understand the industrial landscape of Edge technology. It is known that by 2026, 30% of packaged enterprise capabilities will be deployed on the Edge with integrated resources (gateways with local compute) to drive inference and business outcomes on nearby data. Find out more on the survey we conducted over 200 industrial companies.

Edge computing plays a key role in sustainability and energy efficiency because it is specifically designed to bring applications and data closer to devices and their users. Increasing the deployment of edge solutions could be one of the answers to achieve the energy optimization goal that the industry is looking for.

These are the conclusions reached by Barbara, which presents research on cybersecurity in this sector. Forty percent of industrial organizations have already experienced at least one security incident in the last year, with the industrial and energy sectors being the most vulnerable.

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.

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?

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.