Managing Machine Learning: How to Bridge the Man/Machine Divide

1. Honestly assess your company's readiness. Before rushing headlong into machine learning nirvana, determine if your company comfortably accepts new technology in general. The adoption of machine learning necessitates changes in the processes and methods of a company, which may meet with resistance from teams that aren't typically early adopters or are more inclined to adopt technologies after the first movers in their industry have already done so. After analyzing your company's culture, ask yourself if you have a competitor making visible gains with machine learning. If industry rivals are already seeing return on investment from the technology, you're more likely to get a positive response to the idea of machine learning adoption.