Food & beverage
Clean-in-place cycles, thermal cycling, corrosion from washing agents. Food safety makes a line stoppage a consequence in its own right.
Articles in the food & beverage sector
AI and maintenance
AI in the Dairy Industry: What It Changes Across Real Processes, and What It Does Not
How AI is transforming the dairy industry: pasteurisation, spray drying, separators, cleaning in place and traceability, with the honest limit of each use.
AI and maintenance
AI in the Food Industry: 15 Concrete Use Cases, from the Line to the Audit
Fifteen concrete use cases for AI in the food industry: line vision, predictive maintenance, process, traceability and IFS/BRC audits, with honest limits.
AI and maintenance
AI in the Beverage Industry: Applications and Concrete Examples
How AI applies in the beverage industry: bottling-line vision, CO2 and carbonation control, aseptic and hot-fill, predictive maintenance and traceability.
Software and data
The Best AI Software for Industry, Sector by Sector
Food, pharma, medical or manufacturing: which AI software to choose for your sector, your constraints and the state of your data.
The field toolbox
- Corrosion ratemm/yr
- MTBF · MTTR · uptimereliability
- Thickness logtrend
- Inspection intervaldue date
- Report templateCMMS
- Unit convertermm · psi
- Lost hoursROI
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AI and maintenance
AI agents in industry: what they do, what to fence
Copilot or agent: what agentic AI already does on the factory floor, what to automate, and the guardrails to set before you start.
Engineering and projects
AI in industrial production: where it really helps, where it over-promises
Where AI really helps in production: scheduling, process tuning, OEE, energy. Where it over-promises. The real prerequisite: data quality.
Quality and compliance
AI and industrial quality: what it flags, what the human decides
AI in industrial quality surfaces defects, sorts nonconformities and finds recurring causes. What it flags, what the human decides.
Quality and compliance
Detecting biofilms and bacteria: my UV 365 nm and AI hypothesis
UV-A fluorescence at 365 nm reveals organic residues, not bacteria. What it shows, its false positives, what AI can read in it.
Maintenance strategy
FMEA: the full method, from scoring to a worked example
FMEA step by step: the 3 types, Severity, Occurrence and Detection scoring, the RPN calculation and a worked example, with its honest limits.
Asset integrity
Periodic requalification of pressure equipment: what the rules require
What the PED and national in-service regimes require for pressure equipment requalification, and the operating file that decides the outcome.
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.
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.
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.
Quality and compliance
Preparing for an IFS Food audit with AI, without losing weeks
Preparing for an IFS Food audit without losing weeks: what the auditor demands, where the evidence hides, and what AI assembles for you, without deciding.
Skills and transformation
Freelance industrial AI consultant: how to choose the best
How to choose the best freelance industrial AI consultant: the profiles compared, the criteria that matter, and how to spot the one who ships a tool.
Quality and compliance
Preparing for a quality audit without losing two weeks: the role of AI
Gathering evidence for a quality audit takes days. How AI assembles the dossier by semantic search, without carrying the responsibility in your place.
Quality and compliance
Why the same nonconformities keep coming back, and what AI changes
Why the same nonconformities keep coming back despite 8D and CAPA, and how AI surfaces the recurrences that case-by-case handling never sees.
Quality and compliance
Quantifying what poor quality really costs you, to defend a budget
Scrap, rework, returns and complaints, scattered and never added up. How to aggregate the real cost of poor quality with AI to defend a budget.
Skills and transformation
The industrial maintenance manager: the skills that actually matter today
What is changing in the industrial maintenance manager's role, the skills that genuinely carry weight, and how to build them without a budget.
Quality and compliance
Visual inspection depends on the operator, and what AI vision changes
Visual inspection varies with the operator and fatigue. What AI vision standardises, and the confidence threshold that returns ambiguous cases to humans.
Software and data
Asset Management Software for the Food Industry: How to Choose, and Where AI Really Makes a Difference
How to choose asset management software for the food industry without a misstep, the criteria that matter, and what predictive analysis really changes.
Skills and transformation
Training your team to use AI in industry: what actually works on the shop floor
Why AI training fails in technical teams, and the sequence that works when people are on shift, in the field, and nowhere near a desk.
Skills and transformation
Learning AI for your industrial role, on your own and without a company budget
How an industry professional can learn AI for their own role, without a company budget: where to start, what to avoid, and how to prove it.
Industrial inspection
Preparing for a technical or regulatory audit: arrive with a history, not a pile of PDFs
Approach a technical or regulatory audit without losing two days: what the auditor really looks for, and how to keep a history that answers on its own.
Skills and transformation
Change management for an industrial AI project: what really kills adoption
Why a technically successful AI tool still goes unused, and what actually changes that: the unspoken fear, the local referent, and proof drawn from real work.
AI and maintenance
Making the case for an AI maintenance project to your board
How to cost an AI maintenance project so it survives the boardroom: what you measure, what you own as an assumption, and what you must never promise.
AI and maintenance
Can AI Replace the Inspector? The Line Between Preparing and Deciding
What AI can genuinely do with inspection and maintenance data, what it must never decide on its own, and why the sign-off stays human.
AI and maintenance
Delivering a first AI project in maintenance: a 90-day roadmap
How to run a first AI project in industrial maintenance without spreading yourself thin: the scope to pick, the first 90 days, and the traps that sink it.
Industrial inspection
Equipment inspection intervals: what regulation fixes, and what it leaves to you
What the rules really impose as inspection intervals, how an interval is calculated, and the risks no wall thickness measurement will ever see.
Software and data
How to choose a CMMS: the method, the traps, and the spreadsheet nobody dares abandon
What a CMMS does and does not do, how to choose one without regret, when a spreadsheet still does the job, and where AI genuinely changes things.
Maintenance strategy
Reducing unplanned downtime: what your inspection reports already say
What inspection reports already contain about the failures ahead, how to surface it, and why the signal existed long before the plant went down.
Maintenance strategy
Preventive, predictive and condition-based maintenance: differences and examples
What these three maintenance policies actually cover, a concrete example of each, the data they demand and how to choose the right one.
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