In recent years, the debate between Cloud and Edge Computing has been a hot topic in the world of technology. While both technologies have their advantages and disadvantages, it can be challenging to determine which one is the best option for your application. In this article, we will take a closer look at both, their benefits and drawbacks, and ultimately answer the question: Cloud vs Edge, where should I deploy my application?
To operate more efficiently, water management operators face the challenge to monitor in a unified and comprehensive way all components that make up the OT and industrial automation architectures. The use of Edge Nodes allows connectivity with different equipment in each installation regardless of the various data reporting equipment. Discover how utility companies can access sophisticated intelligence to support water operators using Edge Computing.
Barbara joins Sec2Grid Project to accelerate and improve the process of discovery, detection and mitigation of vulnerabilities in grid devices, as a basis for the specification of cybersecurity management requirements in a Smart Grid system.
Barbara´s technology is being implemented for the management and exploitation of energy resources in Local Energy Communities at ELKARTEN Project. It will also secure data exchange of energy generation and consumption amongst their members.
Artificial Intelligence and Machine Learning are the most popular technologies used to create intelligent systems and although they are related, they are not the same. Because of this relationship, when you look at Artificial Intelligence versus Machine Learning, you are actually analyzing their interconnectedness.
Edge Computing enables industrial organizations to make decisions and take action in real-time, reduce latency, improve reliability, enhance security, reduce costs and enable remote monitoring and control. In this article, we explore how Edge Computing is becoming a reference technology for industrial companies that seek to digitize their operations.