Process Automation

Airports are where ordinary corporate coordination problems go to become expensive. A delayed data update is not just an “alignment issue.” A vague handoff is not just “cross-functional friction.” A misunderstood phrase can move aircraft, ground crews, gates, passengers, baggage, and regulatory responsibility in the wrong order. Aviation has a talent for making management consultants’ favorite words suddenly physical. Very inconsiderate of it. ...

Science usually fails in a boring way. Not with explosions. Not with a robot dramatically discovering penicillin 2.0 while violins swell in the background. More often, a research workflow fails because somebody optimized the wrong thing a little too efficiently. A molecule scores well but is chemically ugly. A nanobody looks good under one predictor but fails to bind. A DNA enhancer activates the target cell line but also lights up the wrong tissue. A separation process reaches high purity by adding pointless unit operations, because the reward function forgot to punish industrial nonsense. The optimizer did its job. Unfortunately, the job description was incomplete. ...

TL;DR for operators Generative AI is useful for data processing when the work is painfully simple for a human and painfully awkward for software. That sounds like a joke until you meet the actual enterprise data stack: PDFs with shifting layouts, scanned documents with OCR scars, multilingual reports, product descriptions pretending to be industry classifications, and a graveyard of “temporary” spreadsheets that somehow became critical infrastructure. ...