whats the frequency of the letter s in:
the world is awash with ai and ml programmes and projects – and marketing hype!
there is clearly a place for such applications – we heard recently about ai (actually it’s good old sophisticated image-recognition) beating experienced doctors in identifying breast cancer, we’ve heard about its use in some automated driving situations, etc.
however, although many organisations are developing and deploying these applications, it appears the world has yet to see any hard evidence that they are delivering benefits to stakeholders (apart from the developers and suppliers of such systems) either in terms of cost-savings/avoidance or increasing effectiveness / income.
there is overwhelming material out there about what they can deliver in the future – but not a lot on what has been delivered so far.
our evidence for the lack of evidence comes from our own observations, as well as dominic cummings’ recent blogvert where he refers to a paper by makridakis, spiliotis and assimakopoulos.
work by genevera allen, associate professor at the rice university in houston, texas also questions the lack of evidence – and, more importantly, the apparent lack of interest in even attempting to collect this evidence!
when we blogged about matthew syed’s “black box thinking” in 2016, if you don’t have a properly constructed “closed loop” (in an engineering sense, and “open loop” in the syed sense) learning system when experimenting with new applications, then we have no idea if we’ve actually improved things!
so, like dilbert, you may want to be wary about where and how you apply ai and ml! and don’t start with the coffee machine!
user
There are 84 "s"s in the text you provided.
assistant