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Articles tagged as adlib

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…

Document as Evidence vs. Data Source: Industrial AI Governance

Anthony Vigliotti, Chief Product Officer at Adlib, identifies a foundational distinction in enterprise AI that most industrial organizations have not yet fully reckoned with. In brownfield manufacturing and regulated industrial operations, the cost of that gap…

Why Stale Data Is More Dangerous Than Downtime

Stale data is more dangerous than downtime in manufacturing because downtime is visible and gets immediate attention, while data decay goes unnoticed. When operators unknowingly act on outdated or incomplete data, quality suffers first, followed by…

When Industrial AI Learns the Wrong Lessons

Industrial AI learns from history — but in most plants, that history is a mess. Behind every AI pilot, there’s a decade of process data, maintenance logs, and scanned reports that were never designed to work…

The Overlooked Data Problem Slowing Down Manufacturing AI

While manufacturers invest in AI and digital twin programs, the Adlib ebook “AI-Powered PLM in Manufacturing” reveals that most of the data required for those initiatives is buried in documents that machines can’t read. Across the industry,…