I came across an interesting article by Harvard Business Review, "How to Spot a Machine Learning Opportunity, Even If You Aren’t a Data Scientist." I enjoyed reading it because it was very inviting overall. Although I took classes on machine learning and research on neural network, I remember that just two years ago when I didn't know how AI worked these all sounded super intimidating for me. This article had just enough amount of math to communicate why this idea of "learning" from past examples (inputs and outputs) can work for tasks like prediction and classification. I think combined with some dynamical graph (like the one from Tensorflow Playground Website), this article can benefit wide range of people.