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Many of them are new to this set of technologies, and seeing the topic through my students' eyes has made me realize how overwhelming it can be. There are so many different types of AI, each requiring some technical knowledge to fully grasp, that newcomers to the field often have difficulty figuring out how to jump in. In the simplest case, cognitive technologies can be just more autonomous extensions of traditional analytics -- automatically running every possible combination of predictive variables in a regression analysis, for example. More complex types of cognitive technology -- neural or deep learning networks, natural language processing, and algorithms -- can seem like black boxes even to the data scientists who create them. Though these technologies can seem daunting, the good news is that getting started with cognitive technologies is getting easier all the time.