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22 SMT007 MAGAZINE I APRIL 2020 adapt by itself. Perhaps the most common example of such software is emerging from the automotive industry, where many carmak- ers have established teams of engineers, com- bining sensors and cameras together with their smart software and striving to make the leap toward completely autonomous driving. Based on this level of engagement, forget it. No mat- ter how clever any individual car becomes, working alone, they will always have to tip- toe around, needing the support of humans, just in case; significant risk of blindness will endure, and no potential risk of an accident will ever be acceptable. To make a step-change that will attain a higher level of intelligence requires autono- Each of us has limitations, strengths, and weaknesses. Our associations with social groups—including our friends, family, teams, schools, companies, towns, counties, coun- tries, etc.—enable us to combine our strengths into a collective, such that we all contribute to an overall measure of excellence. There is strength in numbers. This most human of prin- ciples needs to apply to IIoT, smart manufac- turing, and AI if we are to reach the next step of smart manufacturing achievement. There are a lot of very clever software engi- neers working to develop AI software; though, in all cases seen so far, the intelligence contin- ues to be static algorithm-based, rather than true intelligence that would fundamentally Seeing Around Corners Smart Factory Insights Feature Column by Michael Ford, AEGIS SOFTWARE