We’ve just launched Barbara platform v3.0.0, a major update focused on giving users the power to orchestrate any app no matter if they are legacy or containerized and any AI model regardless the framework used.

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.‍

In industrial environments, disconnected systems make real-time decision-making difficult. Unified Namespace (UNS) offers a solution by creating a Single Source of Truth, but implementation can be complex. Barbara’s Edge Platform simplifies real-time data acquisition, processing, and security, making UNS deployment seamless. This article explains how.

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.

Unlike conventional AI models that rely on cloud computing, Edge AI processes data locally, enabling real-time decision-making, minimizing latency, enhancing security, and reducing operational costs. This technology is already driving greater efficiency and autonomy in industrial settings. In this webinar, we discuss the biggest challenges and solutions to fully harnessing the power of AI at the Edge.

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.

Last week, I returned from MWC 2025 in Barcelona, and one thing stood out above all: Edge AI isn’t just hype anymore it’s happening, at scale and faster than many anticipated. In this post I disclose, my top takeaways from the event.

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.

The convergence of Edge AI and cloud computing is revolutionizing industrial operations. By integrating Barbara’s Edge AI platform with Azure IoT, businesses can achieve real-time data processing, enhanced security, and scalable automation. A key enabler of this seamless integration is Azure Ingester, available now in the Barbara Marketplace. Discover more in the following article.