We are back at ENLIT Europe 2023, to showcase how Transmission and Distribution System operators can improve their operations by virtualizing HV, MV and LV substations and add intelligence to their assets with Edge AI Technology.

The Edge for Smart Secondary Substations (E4S) is a technical working group, made up of Distribution System Operators (DSOs) and technology partners, that promotes the creation of a secure grid architecture based on open and interoperable standards. Barbara joins the Edge for Smart Secondary Substations Alliance to endow the Digital Grid with its groundbreaking Edge AI Platform infrastructure.

In this evolving digital landscape, Quantum-related technologies are gaining significant attention in recent years in the field of cybersecurity. Understanding how quantum random number generators can bolster security at the edge is great news for any company concerned about protecting data integrity and confidentiality in an increasingly complex environment.

According to Gartner, “The technology or service offering must be innovative, impactful and available for purchase for a Cool Vendor.” With Barbara, companies can deploy, run, and manage their models across distributed locations, as easily as in the cloud.

Barbara's Edge Platform has always had a clear goal: To help companies simplify the management of their distributed devices and applications and accelerate their deployment to lead the Industry. With this mission in mind we work day by day... and today we proudly present Barbara 2.6, our latest release starring the functionality: Volumes!

Joining NVIDIA Inception will provide Barbara with support for enhancing the platform’s computing performance and increase its cybersecurity levels. The program will also offer Barbara the opportunity to collaborate with industry-leading experts and other AI-driven organizations.

The two industry leaders will deploy AI to ensure private, secure, real-time digital transformation. The partnership will leverage real-time data processing and local storage to accelerate the time to market for intelligent, cyber-secure and decentralized applications for Industry 4.0.

Edge Computing helps in integrating Information, Operation, and Engineering technologies since it converts data into valid information for real-time decision-making and can relate data coming from IT, OT, and ET systems, which can be difficult to integrate due to their very different origins. In this article written by Daniel Garrote, we dig into the different systems and the role of Edge Computing in helping integrate all these systems.

As artificial intelligence continues to advance, the need for real-time, adaptive, and efficient AI systems becomes increasingly critical. In this article, we dig in into how edge computing complements and enhances adaptive AI, enabling intelligent applications to thrive in diverse and dynamic environments. Join us as we explore the revolutionary synergy between edge computing and adaptive AI.