Machine learning may be the first step for many organizations that are adding AI-related technologies to their IT portfolio. Automates the process of creating algorithms by using data to "train" them rather than human software developers writing code. Basically, what you are doing is showing the algorithm examples, in the form of data. A famous example is a cat. What is a picture of a cat and what is not a picture of a cat? Can you train a machine to recognize a cat by showing it examples of both cat and not a cat? By "looking" at all these examples, the machine learns to recognize the difference.
Organizations are getting more adept at machine learning, and there are plenty of use cases to consider. For instance, NewYork-Presbyterian Hospital was using machine learning for cybersecurity and then recognized that it could use the same techniques to help it fight the opioid crisis.