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.

The last 365 days have been another remarkable chapter of innovation, growth, and collective success at Barbara. As 2024 comes to a close, I want to take a moment to express our gratitude to everyone who has been part of Barbara’s incredible journey this year.

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.