OEE Analysis with AI: A Practical Guide for SMEs
Overall Equipment Effectiveness is the gold-standard manufacturing metric — but most SMEs measure it imperfectly. AI surfaces hidden losses, automates loss categorisation, and makes OEE visible in real time.
Read articleAWI Analytics vs Power BI for Manufacturing: A Direct Comparison
Power BI is the default. But for SME engineering teams, the question isn't whether it can work — it's whether it works for them. Setup time, cost, ease of use, and engineering fit compared honestly.
Read articleFrom Reactive to Predictive: How AI Transforms Maintenance Planning
Most engineering teams know reactive maintenance is expensive. Few have the tools to escape it. Here's how AI is changing that — not by replacing engineers, but by giving them visibility into failures weeks before they happen.
Read articleData Security in Manufacturing: How We Actually Protect Your Engineering Data
Your sensor data, maintenance records, and production logs are business-critical. Here's exactly how AWI Analytics protects them — JWT authentication, AES-256 encryption, organisation-scoped isolation, and more. No buzzwords, just the real security stack.
Read articleHow AI Anomaly Detection Can Prevent Your Next Equipment Failure
Equipment failures don't happen without warning — the signs are buried in your sensor data. AI-powered anomaly detection catches the subtle patterns that precede failure weeks before anything breaks, turning reactive maintenance into predictive action.
Read articleEngineering Data Types Explained: What Your Sensors Are Really Telling You
Vibration, temperature, pressure, current — your sensors generate thousands of data points every day. Here's what each engineering data type actually reveals about equipment health, and how to turn raw readings into maintenance decisions.
Read articleRAG vs Traditional BI: Why Grounded AI Answers Matter
Traditional BI platforms need specialist skills. Generic AI chatbots hallucinate. Retrieval-Augmented Generation (RAG) offers a third path — AI that stays grounded in your actual engineering data, with every answer traceable to source.
Read articleHow AWI Analytics Works: Sync, Analyse, Act
Engineering teams are drowning in data but starving for insight. AWI Analytics turns scattered operational data into clear, actionable answers in three simple steps. No coding. No dashboards. Just ask a question.
Read articleThe True Cost of Unplanned Downtime — Data Alone Can't Fix It Without Insights
Unplanned downtime costs manufacturers up to $260,000 per hour — and the hidden costs go far deeper. Here's the real financial impact and how data-driven predictive maintenance can dramatically reduce unplanned stops.
Read articleChatGPT vs Power BI for Engineering Data: Why Neither Is Enough
Engineering teams are caught between two imperfect options: AI chatbots that are easy but disconnected, and BI platforms that are powerful but need a dedicated analyst. Here's why neither is enough.
Read article5 Signs Your Maintenance Team Needs Better Data Tools
Your team is working hard and the data exists. But equipment still fails without warning, reports take hours to build, and nobody trusts the numbers. Here are 5 signs your tools are holding you back.
Read articleWhy Engineering Teams Are Drowning in Data but Starving for Insights
Modern factories generate terabytes of sensor data every week. Yet most engineering teams still rely on spreadsheets, gut instinct, and reactive firefighting to make critical decisions.
Read article