This disclosure relates generally to a unified platform for domain adaptable human behaviour inference. The platform provides a unified, low level inference and high level inference of domain adaptable human behaviour inference. The low level inferences include cross-sectional analysis techniques to infer location, activity, physiology. Further the high inference that provide useful and actionable for longitudinal tracking, prediction and anomaly detection is performed based on several longitudinal analysis techniques that include welch analysis, cross-spectrum analysis, Feature of interest (FOI) identification and time-series clustering, autocorrelation-based distance estimation and exponential smoothing, seasonal and non-seasonal models identification, ARIMA modelling, Hidden Markov models, Long short term memory (LSTM) along with low level inference, human meta-data and application domain knowledge. Further the unified human behaviour inference can be obtained across multiple domains that include health, retail and transportation.

The current invention pertains to a computer-implemented method, a method, a use thereof, a computer system and a computer program product for determining a potential for anomalous activity by a suspect user, particularly for detecting fraud and most particularly for detecting money laundering.

The current invention pertains to a computer-implemented method, a method, a use thereof, a computer system and a computer program product for determining a potential for anomalous activity by a suspect user, particularly for detecting fraud and most particularly for detecting money laundering.

A method, apparatus, system, and computer program product for evaluating a maturity of a model for a product. A selected maturity state is determined by a computer system for the model for evaluation. A determination is made by the computer system as to whether the model meets a set of criteria for the selected maturity state and a confidence level for the selected maturity state. A model action is performed by the computer system using the model when the model meets the set of criteria for the selected maturity state and the confidence level for the selected maturity state.

A method, apparatus, system, and computer program product for evaluating a maturity of a model for a product. A selected maturity state is determined by a computer system for the model for evaluation. A determination is made by the computer system as to whether the model meets a set of criteria for the selected maturity state and a confidence level for the selected maturity state. A model action is performed by the computer system using the model when the model meets the set of criteria for the selected maturity state and the confidence level for the selected maturity state.

A system and method of combining table management software and customer experience skills by generating profiles of patrons, servers, and restaurants by using machine learning algorithms on and location data in those profiles to build more intimate relationships between patrons, food service establishments, and food service professionals. Trait matching provides optimized matchmaking between patrons and servers who share certain commonalities or affinities while also balancing the table management operations. Machine learning algorithms may be used to identify patterns of commonality that would not otherwise be recognized. This system allows patrons to choose servers at an establishment over a plurality of electronic devices by using the cluster analysis results. It provides servers more lateral work experience between participating restaurants, and restaurants more power to operate smoothly and build highly cohesive teams.

A system and method of combining table management software and customer experience skills by generating profiles of patrons, servers, and restaurants by using machine learning algorithms on and location data in those profiles to build more intimate relationships between patrons, food service establishments, and food service professionals. Trait matching provides optimized matchmaking between patrons and servers who share certain commonalities or affinities while also balancing the table management operations. Machine learning algorithms may be used to identify patterns of commonality that would not otherwise be recognized. This system allows patrons to choose servers at an establishment over a plurality of electronic devices by using the cluster analysis results. It provides servers more lateral work experience between participating restaurants, and restaurants more power to operate smoothly and build highly cohesive teams.

Systems and methods for client intake and management are disclosed herein. In an embodiment, a method for client intake and management by a first party includes receiving initial client data regarding a second party from at least one user terminal, the initial client data including a name of the second party and at least one selection, determining a conflict rating using hierarchical searching on a matter database using the initial client data and the at least one selection, and causing an adjustment to a user interface on a user terminal based on the conflict rating.

A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, decision making based on a third party's clinical situation by determining and providing useful, up-to-date information, such as patient-related information to a decision maker. In one embodiment, a user first identifies an information item concerning a patient. Based on that item, a set of related information items is determined and prioritized, and a reference pointer, which identifies the set of related information, is generated. The reference pointer is communicated to the user's mobile device. Subsequently, the user's mobile device requests information from the set of information items associated with the reference pointer, and provides information authorization information. Following authentication of the user's credentials, updates of information from the set of information items may be communicated to the user's mobile device as they become available.

Provided herein are system, apparatus, device, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof for displaying a database record in a chat platform. In a given embodiment, a server may detect a request to launch a search window, including an input field. The server may cause the display of the search window, including the input field, in response to detecting the request to launch the search window. The server may receive a string via the input field. The server may query a database for a database record matching the string. The server may receive a selection of the database record from the chat participant. The server may cause display of a subset of fields of the database record in the chat session.