Machine Learning & Data...Where You'd Least Expect It

Since the concept of "machines learning" was introduced in the 1950s, the field has gone from a cryptic domain understood by a few (Turing, Markov, Legendre, Laplace or Bayes) to a technology that every company must deploy. Every day we hear how data and automation improve our shopping experiences, our online searches and enables fraud prevention and cybersecurity routines to do more, faster and better for us. Now, the amalgamates created around Artificial Intelligence, Machine Learning and Big Data are bound to confuse industry observers or investors who aren't familiar with the technical details. If you're asking yourself: "What's the difference between Big Data and Machine Learning?", then for the sake of my piece, simply think about it this way: "Big Data is Machine Learning's great uncle". Machine Learning doesn't need Big Data to exist.