I spent a lot of time and effort deploying automation in customer service. The idea was to do it in ways that were really valuable, as opposed to spreadsheet positive. Our management had been toasted too many times by folks selling snake oil, but my god savings were needed. They just had to be real... So first issue: developing measures that measure real overall service productivity... this is hard, the gaming is int…
I’m super curious, what are HAL and Holmes? > algorithm costs $100k to run I almost choked on my coffee. They used this line on multiple companies??
the $100k thing is referring to the costs of deep learning, in my case these costs torpedoed an otherwise good looking business case. Other things that academics do is to report "human level" results when they mean "10 people I recruited on AWS mechanical turk, who really didn't give a monkeys about what they were doing". For academic papers indicating that technology might be valuable in the real world it's clear that they should be read as "this technology might be valuable after 5 years of development". The problem is that this tech then gets hyped by thirdparties which then obscure the 5 years of work required - sometimes meaning that the 5 years doesn't get done...