Artificial intelligence, machine learning, deep learning - these are all buzzwords in tech today. It seems that everyone is looking to implement this technology into their organizations fearing that they'll get "left behind" if they don't. But, what if AI isn't a practical addition to your organization? What if there are pre-existing ways to solve problems and streamline your operations? This week, T. Scott Clendaniel of Legg Mason shares use cases of when organizations should utilize AI and when they are better off without it.

T. Scott Clendaniel is currently the Chief Data Scientist at the Strategic Artificial Intelligence Lab at Legg Mason where he strives to make cutting-edge artificial intelligence accessible to all. Scott specializes in designing and developing new machine learning departments for mid-large size organizations. He holds an MBA and a B.A. in Business Administration & Management from the University of Baltimore.