Technical Deep Dive Archives - Page 2 of 3

Before You Launch Another Manufacturing AI Project, Ask These Five Questions

Jun 25, 2026 | Articles

How manufacturing leaders can distinguish between short-term projects and long-term operational capabilities. Manufacturers are under constant pressure to improve quality, reduce costs, increase throughput, and respond faster to customer demand. AI, advanced...

Connecting Large Language Models to Manufacturing Data

Jun 19, 2026 | Articles

How large language models use factory data, operational context, and connected systems to deliver value from day one. A common assumption about manufacturing AI is that it must be trained on your factory before it can be useful. If an AI system can answer...

The Hidden Infrastructure That Makes Manufacturing AI Possible

Jun 8, 2026 | Articles

Why collecting, organizing, and contextualizing factory data is the foundation of operational intelligence. Artificial intelligence has captured the attention of manufacturing leaders across every industry. Companies are exploring AI copilots, predictive analytics,...

How Manufacturing Leaders Are Missing the Most Valuable Data in Their Factory

Jun 5, 2026 | Articles

Most manufacturers have invested heavily in systems designed to improve visibility. MES platforms track production. ERP systems manage orders and inventory. Dashboards display throughput, yield, and OEE. Yet when a line underperforms, a quality issue emerges, or an...

You Planned the Downtime. Why Is Someone Still Manually Labeling It?

Jun 4, 2026 | Articles

Every factory has a version of this story. The maintenance team schedules a four-hour line shutdown for a Saturday. The planning team knows. The shift supervisor knows. The production schedule accounts for it. And yet, when Monday rolls around, and someone pulls the...