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.

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.

In the highly regulated pharmaceutical industry, GxP compliance is essential for product quality, safety, and efficacy. As regulatory landscapes continue to evolve, pharmaceutical companies must embrace digital transformation to remain compliant and competitive. Barbara’s Edge AI Platform not only help organizations meet GxP compliance but also enhance efficiency, reduce costs, and accelerate innovation.

Enerclic, a leader in energy monitoring and control, needed a scalable and secure edge solution to manage its growing fleet of remote devices efficiently. The goal was to improve deployment processes, strengthen cybersecurity, and grant clients greater autonomy in managing remote assets. Discover how they managed to streamline operations and meet the highest industrial cybersecurity standards.

Developing a data-centric strategy takes companies on a journey from data collection to the creation of advanced AI models. This article explores the stages of an industrial organization's data journey, the challenges they face, and how Barbara’s solutions meet their needs at every step of their digital journey.

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.