I'm not terribly convinced of point 4. > Machine learning will be most productive inside large organizations that have data and process inefficiencies. I stro

I'm not terribly convinced of point 4. > Machine learning will be most productive inside large organizations that have data and process inefficiencies. I strongly believe ML is at worst dangerous and at best pointless here. Data and Process inefficiencies => garbage in, garbage out. ML is NOT a silver bullet in large organisations that have these issues*, I've seen managers try to adopt ML to solve issues, but the results are almost always suspect and/or marginally better than simple if else rules but require a multiple people or teams to get all the data and models right.