34 Deploying Artificial Intelligence ^Top Glossary: Understanding AI Terminology Artificial intelligence (AI) AI has many definitions as perceived by different authorities leading advances in the technology, but fundamentally they all refer to building machines that are capable of thinking like humans, or arguably, sometimes with above human intelligence. AI fits under the larger umbrella of computational intelligence. Computational intelligence (CI) The study of intelligent agents to 1) understand the principles that make intelligent behavior possible, and 2) design computational systems that per- form intelligent tasks.82 AI often denotes the latter part of CI that represents simulated intelligence. The phrase, “simulated intelligence” is debated since strong AI goes beyond simulation and displays independent patterns of thought and consciousness. But we are nowhere close creating strong AI, so we stick to the definition of AI as simulated intelligence. Predictive analytics Building analytical models using past data to identify patterns and relation- ships between input variables and the outcome variables for future outcomes. A model, trained with the past data, is then validated with more past data to match the actual past outcomes as accurately as possible. Once validated, the final model takes new input data and predicts the outcome so that the organization running the predictive model can preempt the customer’s needs and capitalize on them, like Netflix’s recommendations. 82 David Poole, Alan Mackworth, and Randy Goebel, “Computational Intelligence and Knowledge,” chap. 1 in Computational Intelligence: A Logical Approach (New York: Oxford University Press, 1998), https://www.cs.ubc. ca/~poole/ci.html.