The configuration of a business program to emulate and integrate the actions of a human to execute certain business processes, thus increasing efficiency and automating repetitive manual tasks

The use of historical data, along with analyses, statistics, and machine learning components, to build a mathematical model that captures important trends and creates a quantitative forecast

The use of layered artificial neural networks to accommodate more data and more sophisticated algorithms to identify complex patterns.

The employment of a learning algorithm that identifies similarities, patterns, or anomalies within a data set on its own without human involvement.