Technology posts

By 2025, analysts predict that 50% of enterprises will have adopted edge computing, up from just 20% in 2024. At Barbara, we’ve seen this momentum firsthand, with inquiries about Edge Computing and AI increasing fourfold in 2024 alone. While the potential of Edge AI is undeniable, its widespread adoption brings both opportunities and challenges. In this post, we dive into key predictions for Edge AI in 2025 and examine the challenges the industry must overcome to unlock its full potential.

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.

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.

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.

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.