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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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 is becoming harder to ignore.The distinction is this: a document can be treated as a data source, or it […]
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A fundamental change in expectations is reshaping how manufacturers evaluate artificial intelligence systems. The long-standing benchmark of 80% accuracy in document processing is no longer acceptable. In the context of AI-driven product and supply-chain decisions, this level of performance constitutes failure. When two out of every ten data points extracted from a critical document—such as […]
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A decisive shift is underway for manufacturers implementing artificial intelligence. The focus is moving from the selection of large language models to the systems that prepare data for them. The accuracy and trustworthiness of any AI-driven decision—from supply chain logistics to predictive maintenance—are determined long before a query reaches an LLM. They are determined by […]
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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 When operators unknowingly act on outdated or incomplete data, quality suffers first, followed by efficiency and safety. At the Honeywell User Group in The Hague, Claudia Chandra, Chief Product Officer at Honeywell, and […]
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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 together. (Explore what document-first RAG means from Adlib.) These systems contain the experience of the plant — what failed, what […]
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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, 80% of operational data is unstructured, and 90% of it is never used because it sits inside PDFs, CAD […]
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For the past few years, manufacturers have heard the same message on repeat: AI is ready for industry. But a quieter question is now being asked inside control rooms and boardrooms alike — is industry ready for AI?At this year’s Honeywell User Group in The Hague, that question came into focus. Beneath the enthusiasm around artificial intelligence […]
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By 2028, AI-driven industrial plants will not only run autonomously, they will explain their decisions in real time. At the Honeywell User Group in The Hague, Honeywell Chief Product Officer Claudia Chandra and Adlib CEO Chris Huff described this shift as a move from data entry to data fluency, where operators ask questions in natural […]
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