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.

When I first joined Barbara as People Manager, I was eager to see how the company's values would play out in our daily operations. It’s one thing to talk about culture, but experiencing it firsthand is quite another. This is my experience

"Our participation in UAO represents another significant step in our commitment to delivering open and flexible solutions based on industry standards, enabling industrial organizations to innovate more rapidly and with reduced risk." - David Purón, CEO at Barbara.

The 181 zettabytes of data generated annually by over 13 billion devices exceeds global internet bandwidth, posing challenges for cloud computing due to high costs, latency, and security concerns. Edge computing processes data locally, offering efficient, secure analysis without constant connectivity. Barbara’s Industrial Edge Management and Orchestration Platform simplifies managing this infrastructure by providing cloud-like capabilities on-premises and bridging the IT-OT gap.