Emerging Technologies posts

How to build a working industrial agentic AI pilot in an afternoon: industrial connectivity, an MCP server, a small local model, orchestration and a chat interface.

Predictive maintenance and computer vision already deliver real ROI, while generative AI still hunts for its business case. Why classic industrial AI wins.

Most people in Industrial Automation still believe that hardware is inherently more reliable than software. But many of the assumptions behind that belief were formed decades ago, before connected operations, edge computing, and software-defined industrial systems became a reality. In this article, we challenge five of the most common myths about software in industrial environments.

Edge Computing and DataOps, and Why this Combination Matters to Industry

By 2025, analysts predict that 50% of enterprises will adopt edge computing by 2029, up from 20% in 2024. At Barbara, we’ve experienced this momentum firsthand, with a fourfold increase in inquiries about Edge Computing and AI in 2024 alone.

The reluctance to embrace cloud-based solutions opens up an opportunity for a new category of digital twins: Edge-Enabled Digital Twins. These solutions operate independently of cloud infrastructure, maintaining data privacy and sovereignty while providing real-time data analytics and asset control.