Big Data Analytics
examines large amounts of data to analyze hidden patterns, correlations and other insights. Analytics is a powerful tool for identifying correlations, but not causation. One is able to see patterns and trends, but a human must interpret the data to make a decision. In the OODA model, Big Data Analytics Obtains information, but does not Orient, Decide, or Act on it. Decisions and actions are executed through human intervention.
Robotic Process Automation
is used in frequently repeated processes, mimicking a human interacting with a computer or computers. RPA is instructed, or trained, by a human on what actions to take. It is following a set of rules or instructions based on what a human told it to do. In OODA terms, RPA Obtains data and takes Action, but does not Orient or Decide.
uses computer algorithms to build a mathematical model based on “training data” in order to make predictions or decisions without being explicitly programmed to do so. It is a subset of artificial intelligence. Because a human has “trained” it, we know what is right and wrong. Machine Learning can be taught to Obtain, but not Orient, Decide, or Act in terms of OODA. The limitations of Machine Learning are based on what a human has trained it to do.
according to Wikipedia, “… any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.” AI can be trained to make decisions and take action as appropriate. If given a goal, AI will work to achieve it, but it will take many iterations (correct and incorrect) to solve and requires constant feedback. Successfully deploying AI requires large amounts of data for it to learn and apply information correctly. But over time, IT will be a very effective tool. In the OODA model, AI can Obtain, Orient, Decide, and Act.