Mostly disagree. > CEOs will realize that ML is effective in narrow ways and that not everything needs ML. Any stable business isn't unjustifiably syncing cos

Mostly disagree. > CEOs will realize that ML is effective in narrow ways and that not everything needs ML. Any stable business isn't unjustifiably syncing costs here. I project FY21 rise an AI-funded efforts in large businesses. > They will also realize that 1 ML team + ML as a service Yes/no. This is has more platform implications vs actual ML. > ML teams might lose jobs Assumes ML Jobs only do some form of R&D. Data is a utility, and advanced analytics is valuable. Stable ML Jobs dont just work on deep learning. > I expect it to (already happening)... partially agree. already happening. But cost centers are only taking on what was standardized yesterday. Tomorrow still requires advanced analytics capabilities. > In such a system moot point. This is the system. I see a pivot in focused efforts. More optimism in an early AI commodity vs stagnation. We're moving from research to integration. Further areas to improve AI in applications (with continuous feedback training) and many domains of advanced analytics.