Miren Zabaleta

Enerclic, a leader in energy monitoring and control, needed a scalable and secure edge solution to manage its growing fleet of remote devices efficiently. The goal was to improve deployment processes, strengthen cybersecurity, and grant clients greater autonomy in managing remote assets. Discover how they managed to streamline operations and meet the highest industrial cybersecurity standards.

Developing a data-centric strategy takes companies on a journey from data collection to the creation of advanced AI models. This article explores the stages of an industrial organization's data journey, the challenges they face, and how Barbara’s solutions meet their needs at every step of their digital journey.

By implementing Barbara's Cybersecure Edge Computing platform, Argos achieved real-time operational control, significant cost reductions, and unlocked scalable solutions across its facilities. Key results included $200,000 in annual fuel savings per plant, a 60% reduction in bandwidth costs, and the ability to deploy new applications on its existing Edge infrastructure. Explore the full story here.

Our recent webinar with UAO featured a live demonstration of Barbara’s platform in action, showcasing how Schneider’s SoftdPAC runtimes can be deployed across multiple industrial PCs, regardless of the hardware manufacturer, all managed remotely from a centralized platform developed by Barbara.

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 prominent electric power distribution company, recognized the pressing need to modernize its operations. In partnership with Barbara, Aduriz embarked on a transformative journey by deploying Edge infrastructure in two low-voltage (LV) substations using Barbara’s Industrial Edge platform. This successful initiative highlights how Aduriz overcame critical challenges, leveraging advanced technology to enhance system performance and deploy intelligence models that drive operational intelligence.

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.