Insights that are actionable
Short, practical articles on AI in production, quality, and service.
Insights that are actionable
Short, practical articles on AI in production, quality, and service.
TyrolAI Docs: Why I built my own RAG system for industry
Enterprise RAG sounds like a solved problem. In practice, most off-the-shelf solutions fall apart at GDPR, Active Directory, or the question of who is allowed to see which document. That is why I built TyrolAI Docs.
AI in metalworking: What actually works and where to start
Metalworking offers ideal conditions for AI: repetitive processes, measurable quality, and existing sensor data. But the entry point has to be realistic.
Predictive Maintenance in Manufacturing: What AI Can Actually Do
AI-based predictive maintenance sounds promising - but not every machine needs it. An honest look at the technology, data requirements, and how to start.
Computer vision in quality control: What actually works in practice
Computer vision quality control sounds promising but has pitfalls. Four use cases, honest limitations, and what you actually need to run automated quality control in manufacturing.
Edge Computing vs Cloud: Where Should Manufacturing AI Run?
Edge or cloud? The answer is rarely black and white. A practical comparison for manufacturing companies looking to deploy AI on the shop floor.
From idea to AI pilot in 2 weeks: the process
Big AI projects often fail because of unrealistic expectations. An AI pilot project in two weeks delivers real results with minimal risk. Here is the concrete process.