Why Factory Documents Block AI Agents
· Smart Manufacturing

Why Factory Documents Block AI Agents

Most plants were built to make products, not to feed AI agents. The operational knowledge that AI needs is locked in formats that were never designed to be searched, structured, or consumed by machines.During a session at IIoT World’s AI Manufacturing Day 2026, Chris Huff and Anthony Vigliotti of Adlib Software, alongside Mathias Oppelt of […]

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Can Manufacturers Trust AI to Act?
· Smart Manufacturing

Can Manufacturers Trust AI to Act?

AI already produces summaries, recommendations, and reports across manufacturing. Few manufacturers trust those outputs enough to act on them.Searching a document library or summarizing a maintenance file is a support function. Recommending a process change, flagging a quality risk, supporting supplier approval, or triggering a production workflow sits in a different category. The consequences are […]

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Why More Data Creates More Waste in Manufacturing
· Smart Manufacturing

Why More Data Creates More Waste in Manufacturing

For decades, the promise of the digital factory was simple: more data equals more efficiency. Yet, as discussed at the ARC Industry Leadership Forum 2026, many manufacturers find themselves trapped in a productivity paradox. Despite having more sensors and dashboards than ever, teams are spending more time reconciling information than building products.To break this cycle, […]

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Why Your Factory’s AI Keeps Failing: The One Document You Forgot
· Artificial Intelligence & ML

Why Your Factory’s AI Keeps Failing: The One Document You Forgot

You installed the sensors. You bought the AI license. You hired the data scientist. Yet your million-dollar pilot is stuck, delivering quirky answers that no one on the floor dares to trust. The problem isn’t your algorithm. It’s the coffee-stained, handwritten maintenance log from 1998 that your new AI has no idea how to read.In […]

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The First Step for AI in Energy Isn’t Digital
· Artificial Intelligence & ML

The First Step for AI in Energy Isn’t Digital

Before an energy company can use artificial intelligence to predict a pipeline fault or optimize a drilling schedule, it must solve a physical problem. The industry’s most valuable data isn’t in the cloud; it’s in filing cabinets, on shared drives, and in the handwritten logs of technicians nearing retirement. This legacy knowledge, decades of inspections, […]

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