Technology posts

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.

Barbara has been a trusted leader in secure orchestration at the Industrial Edge, helping organizations deploy advanced data and AI applications in mission-critical environments. With the launch of Barbara Platform 3.0.0, we’re entering a new chapter,expanding our capabilities to support even greater flexibility, performance, and resilience at scale.

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 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.