Miren Zabaleta

Barbara will adapt the edge computing firmware for Iberdrola´s substation sensorization and automation and will empower third parties to integrate their software solutions driving the future of Iberdrola´s digital grid.

Aduriz Distribución, a leading electric power distribution company, identified a clear need to modernize its infrastructure. Partnering with Barbara, the company deployed Edge Computing in two low-voltage substations using Barbara’s Industrial Edge Platform. This initiative marks a major step toward substation virtualization, enabling Aduriz to enhance system performance and deploy real-time intelligence models that drive smarter, more efficient grid management.

By implementing real-time optimized Machine Learning algorithms at each of its desalination plants, ACCIONA a global infrastructure operator, managed to minimize the use of reactive chemicals, eliminate associated regulatory penalties, and leverage an edge infrastructure to implement new predictive applications for water quality control. In this article, we explore the intricacies of the project.

Many companies find themselves underprepared for the complexities involved in expanding their projects within the Edge. Proof of concepts (POCs) typically focus on one or a few locations, but if successful, they must scale to hundreds or even thousands of locations. This article highlights key considerations for technology leaders navigating the Edge AI landscape.

Edge Computing is becoming a critical component, enabling organizations to leverage edge data in unprecedented ways. However, embarking on an Edge Computing project can be daunting, as building an edge solution requires significant time, investment, and a highly skilled team.This article explores the essentials for getting started with Edge Computing.

View our on-demand webinar "How to Maximize your Edge Data". Whether you're just starting to collect data and want to maximize its potential or you're deep into your digital transformation journey and aiming to harness AI at the edge, this webinar provides actionable insights applicable to every stage of your enterprise’s edge journey.

AI empowers machines to learn from data, make smarter decisions, and adapt in real time, driving unprecedented efficiency in manufacturing. The convergence of AI and automation is reshaping the industry and accelerating innovation. In this article, we explore how organizations can successfully embark on their Edge AI journey.

As organizations' appetite for seizing opportunities at the edge grows, data-driven industries must carefully select the right infrastructure to seamlessly scale from initial implementations to large-scale deployments across multiple facilities.This article explores why an Edge Management and Orchestration tool is essential for efficiently and securely scaling edge computing initiatives.

Edge AI brings machine learning capabilities directly to edge devices, allowing real-time data processing and decision-making at the source without relying on cloud connectivity. This unlocks faster, smarter, and more autonomous operations across the shop floor. In this article we explore the challenges of embracing Edge AI in the Food & Beverage Industry.

The integration of Artificial Intelligence (AI) in automotive manufacturing is not a new concept. However, the shift towards the Edge where AI algorithms operate on the data generated at the source rather than being sent to a centralised server, is a game-changer. In this article we explore the main challenges of embracing Edge AI and why moving AI to the edge brings unprecedented levels of efficiency, safety, and sustainability to car manufacturers.

Barbara and Gridfy have joined forces to bring AI Flexibility algorithms to the Edge.‍‍ Gridfy has developed and implemented the AI flexibility algorithm located in one of Cuerva´s substations while Barbara has provided the Edge Infrastructure that deploys and orchestrates Artificial Intelligence at the Edge.

In industrial manufacturing, the cement industry is notable for its considerable environmental impact and high energy usage. Amid increasing environmental concerns and a drive towards sustainability, edge computing presents innovative solutions to improve supply chain efficiency, sustainability, energy conservation, and product traceability.