The message should be, whether intended or not, for Martha to send this comic to her boss and begin scheduling brainstorming meetings. With the vast plethora o

The message should be, whether intended or not, for Martha to send this comic to her boss and begin scheduling brainstorming meetings. With the vast plethora of introductory resources for ML today, there's no good excuse for both supervisors and engineers to understand what tools it might provide. The phrase "we need to add AI to everything" should be met with as much consternation as "we need to promote synergy". Precision is important. It's the difference between spending 6 months developing an deploying trained neural nets and 60 minutes for linear regression.