Enrique Ramírez

This article takes you inside a real-world deployment where MLOps at the edge powers hourly solar radiation forecasts in a photovoltaic plant. By combining AI with real-time data flows, and cloud integration, the solution delivers higher prediction accuracy, faster response times, and optimized plant performance. Discover how Edge MLOps is transforming solar forecasting.

This post explores how Barbara enables Food & Beverage plants to turn raw data into real-time insights and AI readiness, transforming the Unified Namespace into a real competitive advantage.

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.

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 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.

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!