Example systems and methods provide dynamic generation and display of workstation assignments in a pharmacy information system. A plurality of electronic workstation displays are in network communication with a workstation assignment engine configured to generate workstation assignments for employees assigned to the workstations displays and store a schedule record. Based on various triggers, workstations identified in the workstation assignments display the workstation assignments on a graphical user interface portion of the workstation displays. Dynamically generated changes to the workstation assignments in the schedule record may be generated and displayed in response to real-time change in coverage events.

Certain aspects of the present disclosure provide techniques for semantically contextualizing structured and unstructured data, extracting and making sense of domain knowledge, and performing semantic-driven optimization to provide generic, scalable, autonomous and real-time performance management within a built environment domain.

A method assigns a particular rule for a previous client to a new client for use in executing a security feature on a computer system used by the new client. One or more processors match a new client profile for the new client to a previous client profile for the previous client. The new client profile is based on types of one or more client assets of the new client and an intrusion detection alert history of the new client. The processor(s) assign the particular rule for the previous client to the new client based on the new client profile matching the previous client profile. The processor(s) receive information indicating that a violation of the particular rule has occurred, and execute a security feature of the computer system used by the new client in order to resolve the violation of the particular rule.

An apparatus comprising a controller. The controller includes an input/output (I/O) module and a rule module. The I/O module is configured to present a question for a patient when communicatively coupled to a user interface and receive patient information in response to the question via the user interface. The rule module is configured to apply a rule to the patient information and generate a suggested insulin pump setting from application of the rule. Other devices, systems, and methods are disclosed.

A switching system includes a plural of line and a switch card. The line card or cards notifies the out whether or not the line card or line cards is in the FDB learning enabled state. The switch card includes a learning information storage unit that holds in store the FDB learning information received from the multiple line cards and an FDB learning arbitration unit that, when all of the line cards are in an FDB leaning enabled state, selects and sends the FDB learning information, stored in the learning information storage unit, to the respective line cards, based on a notification from each the line cards.

An automated evaluation of test logs for the testing of telecommunications equipment includes a probabilistic model that links possible events in a test log with possible causes for the event. Probability values for possible causes are calculated from the probabilistic model and a search result, and a reference to a possible cause is provided in an output based upon the calculated probability values.

Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score. The method yet further includes inputting the determined at least one associated score to a trained predictive model to obtain a predicted marketing outcome, where the trained predictive model was trained using training scores associated with a multitude of training discrete marketing messages as independent variables and corresponding training marketing outcome data as dependent variables.

In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a first user, a first user input from the first user, identifying one or more entities referenced by the first user input, determining a classification of the first user input based on a machine-learning classifier model, generating several candidate conversational fillers based on the classification of the first user input and the one or more identified entities, wherein each candidate conversational filler references at least one of the one or more identified entities, ranking the candidate conversational fillers based on a relevancy of the candidate conversational filler to the first user input and a decay model hysteresis, and sending instructions for presenting a top-ranked candidate conversational filler as an initial response to the first user.

The invention discloses a computerized method for planning and monitoring an efficient production floor. A production site is provided with communication access to a central server configured to: receive input data comprising details a planned job run of the production floor; receive status and location parameters pertaining to tagged central key assets of a production floor, from tracking readers located in the production site; compare the parameters to preconfigured rules using a context analyzing component; output decisions based on the comparison; the decisions resulting in generating alerts and/or recommendations pertaining to the parameters of the key assets, communicate the alerts, and/or recommendations, digitally to specified personnel; these alerts and/or recommendations related to flow of the production floor. A system of the invention is also disclosed.

In one embodiment, a method includes receiving a sharing request to share content generated during a current dialog session from a client system associated with a first user, identifying one or more content objects associated with the sharing request based on a natural-language understanding module, wherein the one or more content objects were previously generated during the current dialog session, determining one or more second users the sharing request is directed to based on a user profile associated with first user, and sending instructions for accessing one or more of the identified content objects to one or more client systems associated with the one or more second users.