Abstract: An improved system and method for generating gamified training content using multimodal human-machine interfaces controlled by an adaptive backend training system. Such a system can include a gamification engine working in conjunction with a machine learning engine for adaptively updating or restructuring database elements by analyzing existing data and applying external training data. Training content can thus be progressively optimized for various users, groups, and training contexts as the system adapts.

Abstract: A system for applying artificial intelligence technology to data stored in databases and generates diagnostics that are user definable interpretations of information in the database. The diagnostics are stored in a database which can be queried with downdrilling to the associated data which generated the diagnostic. A set of bidirectional links is maintained between selected data items in the first database and the corresponding diagnostics in the second database. The system acts as an information compiler in developing a map of the raw data dimension into the structured dimension of intelligent interpretation of the data in the diagnostic database.

Abstract: This invention addresses the need to map information from databases and reports to a new dimension of structured, intelligent interpretations or diagnostics of that information, and then querying in a coordinated manner both the original information and the resultant diagnostics databases. The invention combines elements currently available in decision support tools, programming languages and expert system building tools. First, querying mechanisms for the information in reports and databases is provided. Second, both a test processing engine and an Expert System run a set of if-then-else tests and expert rules on said information, and the resulting coded diagnostics are stored in a diagnostics database.