Enrique Ramírez

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.

LLaMA (Large Language Model Meta AI) is a family of efficient, open-source language models developed by Meta. Engineered for lightweight performance, LLaMA delivers powerful natural language processing capabilities while optimizing for scalability and efficiency. In this article, we explore how easily LLaMA can be deployed at the Edge with Barbara.

In the world of Industry 4.0 and distributed infrastructures, real-time data processing is key to efficient decision-making. Splunk, a leading analytics platform, now integrates with Barbara's edge orchestration platform, enabling deployment on edge nodes and combining its capabilities with artificial intelligence (AI) models to maximize its potential.

In edge computing, system reliability is crucial. Barbara's Alert Manager ensures proactive monitoring and alerts to address issues before they escalate. Fully integrated into the Barbara Ecosystem, the Alert Manager enhances your operational efficiency and minimizes downtime.‍ Discover more in the following article.

The MING stack empowers edge computing by combining efficient data handling, automation, and visualization, enabling organizations to unlock the full potential of IoT and real-time applications in distributed environments. In this article we explore how the MING Stack works at the Edge and can be easily deployed using Barbara.

We're happy to announce the release of Barbara platform v2.9.0, a new update packed with new features, UX/UI enhancements, and performance improvements. This release focuses on enhancing network management and providing a more intuitive user experience. Let's dive into the key highlights.

Computer Vision is experiencing unprecedented growth at the edge, driven by the demand for real-time data processing, enhanced privacy, and operational efficiency. This article delves into deploying a comprehensive Computer Vision solution using Barbara Edge Platform, focusing on the integration of Barbara Video Tools and the cutting-edge Ultralytics YOLOv8 application.

This post delves into how Barbara 's MLOps capabilities make deploying AI models like ResNet18 to edge devices effortless and remote, all managed seamlessly through a single, intuitive console. Discover more.

Barbara's Edge Platform has always had a clear goal: To help companies simplify the management of their distributed devices and applications and accelerate their deployment to lead the Industry. With this mission in mind we work day by day... and today we proudly present Barbara 2.6, our latest release starring the functionality: Volumes!

Barbara IoT's entire model is focused on improving the agility of every process. Since our inception we have tried to be agile in all aspects of our business and that has motivated the use of a number of architectures, tools and methodologies.