Two recent examples highlight the consequences of rushing to implement and publish positive results from AI adoption. While these reports demonstrate the pitfalls of over-reliance on AI without common-sense guardrails, not all is off track in the land of enterprise AI adoption. Now that we are through the “fear of missing out” stage and can get down to business, where are the best places to look for value when applying AI to automation of your business? Example one: Natural language processingManufacturing automation challenge: Failure Mode and Effects Analysis (FMEA) is both critical and often labor intensive. Weeks of engineering effort are spent per FMEA analysis repeated across large fleets of tools spread between these facilities.