AI is a collective term for computer systems that can sense their environment and learn, think, and adapt in response to change in order to achieve their objectives (from DIA).
ML computational systems can improve their own performance at some task by detecting patterns or regularity in the data and optimizing performance to achieve their objective (adapted from DIA).
Data visualization is a general term describing the use of graphical or pictorial representations of data to make it easier to detect trends, make comparisons, discover correlations or see patterns.
Algorithms are sets of computer instructions designed to solve a problem. The field of computational statistics utilizes algorithms to conduct statistical analysis of data for derivation of insights.
A key to the success of any professional working in the area of critical technologies is the ability to successfully describe problems, analysis, and solutions to their colleagues through both written and oral communication.