Many industrial companies have a data strategy, yet very few can honestly say their business is better because it. The reason often isn’t technology or talent, but a missing piece in what we call the Triangle of Digitalization — a simple framework that reveals why most data strategies quietly fail.
Led by Iberdrola, the IA4TES project has successfully completed its three-year initiative (2022–2024), focusing on leveraging Artificial Intelligence to advance renewable energy generation, optimize distribution networks, and enhance customer-level operations. Barbara played a pivotal role by developing industrial edge software to deploy and orchestrate AI at the Edge, enabling smarter, more efficient energy solutions.
This post explores how Barbara’s MLOps capabilities simplify the remote deployment of AI models — like ResNet18 — to edge devices, all managed effortlessly through a single, intuitive console. Discover how easy edge AI deployment can be.
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.
Deploying machine learning models across multiple locations is becoming critical for scaling AI. Whether you're building infrastructure or serving diverse clients, this guide covers key strategies, challenges, and best practices for successful multi-site model deployment.
One of the key goals of the Barbara platform is to support data scientists and AI engineers in deploying their algorithms with minimal friction. In line with this, our latest release, version 2.8.0, introduces several new features, including support for additional development frameworks like ONNX and Pytorch, as well as GPU support, among others. However, these are just a few of the enhancements in the 2.8.0 release. Let’s take a closer look at all the updates.
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.
Organizations across all industries are rapidly deploying edge computing to address challenges related to latency, cost of bandwidth, data sovereignty and control, or business continuity. Industry edge solutions address a variety of business outcomes through different use cases enabling digital transformation across industries. After initial deployments, organizations are starting to ask for vertically integrated edge computing solutions and packages more tailored to their specific needs according to the Gartner® Hype Cycle™ report for Edge Computing.
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.
According to Gartner, 13% of organizations implementing IoT projects are already leveraging digital twins, while another 62% are actively planning or developing them. Yet, industries like energy, water infrastructure, and process manufacturing face significant hurdles in adopting these powerful solutions. This article delves into potential strategies to overcome these challenges.
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