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AVEVA PI System Overview for Engineers
A practical overview of AVEVA PI System concepts including tags, assets, historians, AF, event frames, and dashboards.
The Complete Guide to Industrial AI
A practical introduction to Industrial AI for engineers, manufacturers, reliability teams, automation teams, and plant leaders.
Digital Transformation Roadmap for Factories
A practical roadmap for industrial digitalization projects, from data foundations to dashboards, AI, and adoption.
How to Start an Industrial AI Project
A practical step-by-step guide for choosing, scoping, and launching an Industrial AI project in a factory.
Industrial KPIs Every Plant Should Track
A practical list of production, reliability, maintenance, quality, energy, and safety KPIs for manufacturing plants.
MTBF vs MTTR: What Reliability Engineers Need to Know
A practical explanation of MTBF and MTTR, including formulas, examples, and how to use them in maintenance analysis.
OEE Explained for Manufacturing Engineers
A clear explanation of Overall Equipment Effectiveness, including availability, performance, quality, and practical interpretation.
OPC UA vs MQTT for Industrial Data
A practical comparison of OPC UA and MQTT for engineers working with industrial data integration.
Power BI for Manufacturing Dashboards
How to design practical Power BI dashboards for production, reliability, maintenance, quality, and energy teams.
Predictive Maintenance Explained
A practical guide to predictive maintenance, how it works, where it fails, and how engineers can implement it.
Python for Industrial Data Analysis
How engineers can use Python to clean, analyze, visualize, and model industrial time-series data.
Root Cause Analysis for Engineers
A practical guide to RCA methods, mistakes, and how to turn failure events into reliability improvement.
SQL for Manufacturing Engineers: Practical Queries to Start With
A practical SQL guide for engineers working with production, downtime, quality, and maintenance data.
Downtime Analyzer
Paste stoppage data and rank equipment by downtime impact.
MTBF Calculator
Calculate mean time between failures.
MTTR Calculator
Calculate mean time to repair.
Availability Calculator
Calculate operational availability from MTBF and MTTR.
Failure Cost Calculator
Estimate production loss and direct cost caused by equipment failure.
OEE Calculator
Calculate overall equipment effectiveness.
Maintenance KPI Worksheet
CSV template for MTBF, MTTR, availability, downtime, and failure tracking.
Manufacturing SQL Cheat Sheet
Common query patterns for downtime, quality, production, and maintenance data.
Industrial AI Project Checklist
Checklist for deciding if an industrial AI project is ready for implementation.
Agentic AI for plant operations: From dashboards to decisions
Microsoft: Microsoft explores how AI assistants can connect engineering documents, maintenance history, and operating data. A Yara example illustrates the role of an operational digital twin in making plant knowledge easier to use.
2026 State of Smart Manufacturing Report
Rockwell Automation: Rockwell's eleventh annual study examines manufacturers' adoption of digital technologies, AI, and cybersecurity. Its publisher summary describes a survey of 1,560 respondents across 17 countries, conducted with Sapio Research.
4 ways AI is enabling the future of industrial work
Microsoft: This collection looks at how industrial companies apply AI to demanding workflows. Its ARUM example describes converting machining expertise into software that helps translate CAD designs into machine instructions.
Dassault Systèmes and NVIDIA Partner to Build Industrial AI Platform Powering Virtual Twins
NVIDIA: NVIDIA and Dassault Systèmes outline a partnership combining virtual twins, accelerated computing, and AI. Their proposed architecture spans engineering simulation, production systems, and assistants grounded in industrial knowledge.
Global Lighthouse Network: Rewiring Operations for Resilience and Impact at Scale
World Economic Forum: The Forum's 2026 white paper brings together lessons from its manufacturing Lighthouse community. It focuses on operational resilience, the adoption of AI across connected operations, and the transition from local pilots to enterprise capabilities.
Siemens' AI powered Nanjing facility named World Economic Forum Global Lighthouse Factory
Siemens: Siemens describes its Nanjing plant's response to changing orders and shorter delivery windows. The site combined digital twins, modular automation, manufacturing operations management, and AI applications in a broader transformation program.