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Edge Computing and DataOps are different, and they’re most effective when used together. But by starting with a secure, flexible, and robust edge computing platform like Barbara, industrial companies can create a future-proof foundation that supports any DataOps toolset, avoids vendor lock-in, and is ready to scale into the next generation of intelligent industrial systems.‍

The Oil & Gas industry is embracing AI, automation, and digitalization, but deploying these technologies remains a challenge. Harsh environments, connectivity issues, and massive data volumes make traditional cloud-based AI solutions impractical. In this post, we dive into the challenges of data processing in Oil & Gas and how the Barbara Edge AI Platform delivers a robust, scalable, and secure solution tailored for the industry.

Product servitization has been around for nearly 30 years, but what is different today is the inclusion of emerging and enabling technologies like IoT, Edge Technologies and AI to support the transition from user-owned to provider-owned assets that are wrapped with asset life cycle services.

For years, CORREA relied on traditional IoT platforms to monitor its machines, but limitations soon became clear. Data access was restricted, and whenever connectivity was lost, valuable insights disappeared. Worse yet, machine data was stored in a vendor’s cloud, leaving CORREA without true ownership or control. With the adoption of Barbara’s Edge AI platform, CORREA achieved 1) Real-Time machine monitoring 2) Data governance & sovereignty 3) Greater flexibility and 4) Remote control of their machines. Learn how.

In the highly regulated pharmaceutical industry, GxP compliance is essential for product quality, safety, and efficacy. As regulatory landscapes continue to evolve, pharmaceutical companies must embrace digital transformation to remain compliant and competitive. Barbara’s Edge AI Platform not only help organizations meet GxP compliance but also enhance efficiency, reduce costs, and accelerate innovation.

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 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.