> Case in point is Uber with models per city/ time of day (with 1000's of models in production).
That is a good case-in-point, because one of the arguments in the article is that AI is expensive.
At what point does 40,000 compute-hours and a few million dollars spent on hundreds of city models become a better use of time and money than an afternoon noodling with ARIMA or some Fourier analysis on a $5,000 workstation?
Perhaps -- perhaps -- at Uber's scale, squeaking out a tenth of a percent is worth the time and money. But the rest of us schmoes can do pretty well with an SQL query, some R or Python or Julia and a generous dollop of good old-fashioned all-American hubris.
That is a good case-in-point, because one of the arguments in the article is that AI is expensive.
At what point does 40,000 compute-hours and a few million dollars spent on hundreds of city models become a better use of time and money than an afternoon noodling with ARIMA or some Fourier analysis on a $5,000 workstation?
Perhaps -- perhaps -- at Uber's scale, squeaking out a tenth of a percent is worth the time and money. But the rest of us schmoes can do pretty well with an SQL query, some R or Python or Julia and a generous dollop of good old-fashioned all-American hubris.