5 Ways Your AI Projects Fail, Part 2: Strategic AI Failures

Another classical error at this point is assuming a problem is one kind of machine learning when it may be a multi-step, ensemble approach. Again, returning to the sentiment analysis example, suppose we need to turn a pile of tweets into a prediction of what kind of tweets earn the most engagement. We think we're solving for a prediction, and that may be the last step in the problem, but before we can solve for what makes a tweet engaging, we have to solve for turning text into numbers.