There's always a trade-off between exploration/exploitation - in any optimization, we're incapable of enumerating every path to our intended goal or the associa

There's always a trade-off between exploration/exploitation - in any optimization, we're incapable of enumerating every path to our intended goal or the associated cost. We need some time to experiment, fail and learn - and ultimately discover a more optimal pathway. I guess that's the motivation behind Google's 20% time (if that was/is ever a thing). I'd also be interested to know how Amazon approaches the problem. From the outside, they look like a much more top-down organization than Google - keen to hear if/how that gels with "encouraging experimentation and failure".