The Industrial AI Blog
The media specialised in AI applied to industry: maintenance, quality, inspection and asset integrity. In-depth articles and free tools, no account needed.
Articles, page 2
AI and maintenance
RAG in industry: answering from YOUR documents, not the web
RAG makes AI answer from your documents, not the web. Its principle, where it breaks (retrieval) and the governance that holds it together.
Quality and compliance
AI in the pharmaceutical industry: use cases, risks and regulation
Real AI use cases in the pharmaceutical industry: vision, batch records, deviations, sterile utilities, and the GMP, Annex 11 and 21 CFR Part 11 framework.
AI and maintenance
Generative AI in industry: the use cases that actually work
Which generative-AI use cases really deliver in industry in 2026, which are over-hyped, and how to pick the first one to run.
Asset integrity
Non-destructive testing (NDT): which method for which defect?
Penetrant, magnetic particle, eddy current, ultrasonic, radiography: which NDT method for which defect, material and access.
The field toolbox
- Corrosion ratemm/yr
- MTBF · MTTR · uptimereliability
- Thickness logtrend
- Inspection intervaldue date
- Report templateCMMS
- Unit convertermm · psi
- Lost hoursROI
No account, everything runs in the browser.
Open the tools
Asset integrity
The 5 Best Industrial Asset Integrity Software
An honest comparison of 5 industrial asset integrity software tools: what each really does, its strength, its limit, and which one to choose.
Software and data
The 10 Best Software for Industry 4.0
MES, IIoT, digital twin, CMMS, vision, ERP, historian, AI: ten Industry 4.0 software compared, each with its strength, limit and best use case.
AI and maintenance
How to choose a profitable AI project among several ideas
How to select and prioritise the most profitable AI project in a plant: the sorting criteria, a scoring grid, and the traps that turn a pilot into a money pit.
Software and data
CMMS, EAM, IDMS and AIMS: what are the differences?
CMMS, EAM, IDMS, AIMS: clear definitions, what each software category covers, what it does not do, and how they coexist in an industrial plant.
Software and data
Industrial AI: What It Really Is, and What It Changes on the Plant Floor
Industrial AI without the jargon: use cases by function and by sector, limits, costs, financing and a roadmap to get started in your plant.
Industrial inspection
AI in non-destructive testing: what AI adds to NDT
What artificial intelligence really adds to non-destructive testing: assisted defect detection on images, structured results, trending, and its honest limits.
Software and data
Should you build your AI, buy it, or repurpose a consumer tool?
Build, buy or repurpose a consumer tool: the three routes to AI on the factory floor, the criteria that actually decide, and where to start.
Software and data
Spreadsheet or dedicated software to track inspections?
Is a spreadsheet enough to track industrial inspections? When Excel is genuinely fine, the five points where it breaks, and how to migrate without a big-bang.
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