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 true potential of Industrial IoT can only be achieved through the introduction of Artificial Intelligence. In this article we will go beyond IoT and will focus on Data Analytics and Data exploitation because for us IoT without Big Data is nothing.

Industry at the Edge by Barbara is an annual event directed to the community of professionals, startups and corporations around technological innovation in the industry. In a horizon of uncertainty in terms of escalating costs Edge Computing is set to become a game-changer in the industrial revolution.

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.

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.

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.