Last week, Business Insider published an interesting article about a leaked memo that Walmart sent its regional and store managers allowing them to either fully or partially shut down its automatic inventory management system (called ISA):
Totally agree with the collaboration of algorithm and human can bring the most benefits. However, do you think that once the algorithm is strong enough, like it has the database of extreme situations like festivals and will adjust automatically to it. Do we still need people to intervene or supervise algorithm？
Algorithms will know how to deal only with events they saw before (to a large extent). They will learn about the festivals, and the holidays. But what about the supplier that defaulted. And the raw material that is of lower quality. Hard to account for everything.
Providing model explainability/interpretability should also help reduce model aversion since the humans can see the top drivers for a given recommendation. Such increased transparency can also allow humans to provide targeted feedback on model performance.
Totally agree with the collaboration of algorithm and human can bring the most benefits. However, do you think that once the algorithm is strong enough, like it has the database of extreme situations like festivals and will adjust automatically to it. Do we still need people to intervene or supervise algorithm？
Algorithms will know how to deal only with events they saw before (to a large extent). They will learn about the festivals, and the holidays. But what about the supplier that defaulted. And the raw material that is of lower quality. Hard to account for everything.
Defnitely make sense! Especially hard to know human behavior.
Providing model explainability/interpretability should also help reduce model aversion since the humans can see the top drivers for a given recommendation. Such increased transparency can also allow humans to provide targeted feedback on model performance.
I completely agree!