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Nobody wakes up one morning and saying, "I need an ontology!" They wake up with more ordinary pain. The sales team uses one definition of customer. Operations uses another . Finance uses a third. The data warehouse tells you what happened to a customer, but not what it means. A workflow tool knows what tasks exist, but doesnt understand how these tasks will affect a customer. An AI assistant can summarize a document, but it cannot reliably tell whether a shipment is late, wh

39% of Skills Will Change by 2030. The statistic gets repeated a lot because it is dramatic. By 2030, a large share of core work skills will change. For many people it creates exactly the right amount of productive urgency. For others it induces fear and paralysis. But there is also a trap hidden inside the stat. When people hear that skills are changing quickly, they often respond in the least useful way possible: they start chasing the newest thing they can name. A new mode

There is a quiet shift happening in technical hiring. For years, the default filter was simple: shortlist the candidates with the right degree, the right school, and the right resume vocabulary. It was convenient. It was legible. And in many organizations, it became so normal that no one stopped to ask the harder question: Does this actually tell us who can do the work? In broad, mature disciplines, the old signals still carry some value. A strong computer science degree can