data centre operators better manage their facilities ,” he admits , pointing out examples of pattern recognition like “ Every time we see pattern X of errors in a system like this , we soon see failure Y ” or “ Whenever we have periods of X type weather , we see Y changes in consumption patterns .” This technology certainly has value , but Sayer is quick to articulate that , “ there is an argument for humans being the most competent when it comes to managing and mitigating risk , and managing facilities safely and efficiently .”
As an example , he holds up government security services , an area where “ Over the
“ There is an argument for humans being the most competent when it comes to managing and mitigating risk ”
PHIL SAYER BCN GROUP
past 20 years , intelligence agencies have collected staggering amounts of data and applied the most advanced machine learning , facial recognition , voice analysis , gate analysis , etc to this data .” He adds that , “ all this has done is drown them in false positive threats and hidden the real ones .”
The answer , Sayer posits , is to recognise the power of the human mind as a threat detection tool . He holds up airport security as another example , particularly the difference between terminal security in both the US and Canada post-9 / 11 and Israel at the same time .
“ Israelis , unlike Canadians and Americans , don ' t take s--- from anybody . When the security agency in Israel ( the ISA ) started to tighten security and we had to wait in line
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