Abstract: A sentiment analysis computing system includes a storage medium and a processing system. Sentiment input is received from audience members viewing a streamed/webcasted event. The received input is stored to the storage medium. A time slice of the webcasted event is determined and sentiment inputs that are within that time slice are obtained. A sentiment value is calculated for the determined time slice based on aggregated sentiment values. The calculated sentiment value for the time slice is then output by the sentiment analysis computing system.

Abstract: A system for measuring the orientation angle of automotive collision avoidance sensors. An adaptive spacer is supported to conformably interengage the collision avoidance sensor module of a vehicle being repaired. The adaptive spacer extends outwardly from the sensor module and the orientation angle of the sensor module is transposed by the adaptive spacer to form an angular guideline on an underlying calibration board, mat or other surface. The angle between the angular guideline and a base guideline parallel to the center line of the vehicle and the angular guideline is measured to provide the orientation angle of the vehicle's sensor module.

Abstract: A method of automatically generating baggage driver staffing recommendations including receiving a first set of flight parameters for a first flight, creating a first predictive staffing model for the first flight by simulating missed bag quantities for a range of driver quantities using a first computer-implemented machine learning model and the first set of flight parameters, and automatically generating a first recommended driver quantity predicted to result in a quantity of missed bags using the first predictive staffing model and a threshold quantity of missed bags. The missed bag quantities are simulated using a simulator, the first computer-implemented machine learning model is configured to relate driver quantities and flight parameters to expected missed bag quantities, and the first predictive staffing model relates predicted quantities of missed bags to quantities of staffed drivers.

Abstract: A computer-implemented method for managing crop harvesting activities is implemented by a harvest advisor computing device in communication with a memory. The method includes receiving an initial date of a crop within a field, receiving an initial moisture value associated with the crop and the initial date, and receiving a target harvest moisture value associated with the crop. The method also includes receiving field condition data associated with the field. The method further includes computing, by the harvest advisor, a target harvest date for the crop based at least in part on the initial date, the initial moisture value, the field condition data, and the target harvest moisture value, and displaying the target harvest date for the crop to the grower for harvest planning. The target harvest date indicates a date at which the crop will have a present moisture value approximately equal to the target harvest moisture value.

Abstract: A computer system and computer-implemented method for retail merchandise planning, including promotional product selection, price optimization and planning. According to one or more embodiments, the computer system for generating an electronic retail plan for a retailer comprises, a data staging module configured to input retail sensory data from one or more computer systems associated with the retailer; a data processing module configured to pre-process the inputted retail sensory data; a data warehouse module configured to store the inputted retail sensory data and the pre-processed retail sensory data; a state model module configured to generate a retailer state model for modeling operation of the retailer based on the retail sensory data; a calibration module configured to calibrate the state model module according to one or more control parameters; and an output module for generating an electronic retail plan for the retailer based on the retailer state model.

Abstract: A method to provide multi-objective recommendations. The method includes receiving user input indicating a plurality of objectives, where each of the plurality of objectives indicates a desired goal for a field of interest, receiving user input indicating a plurality of actionable fields, receiving user input indicating selection of one of a plurality of records in a data set, determining, based on applying an evolutionary algorithm, one or more candidate changes to values of the plurality of actionable fields of the selected record, determining, for each of the one or more candidate changes, a multi-objective score for that candidate change, selecting one or more of the one or more candidate changes to recommend to a user based on the multi-objective scores of the one or more candidate changes, and providing, for display to the user, the selected one or more candidate changes as recommended changes.

Abstract: A system is provided for providing real-time actionable feedback. The system comprises: a server in communication with a plurality of client devices, which server comprises a first module configured to process clinical care data using a machine learning algorithm trained model to identify: (i) performance metrics that impact a clinical care outcome in a selected field, and (ii) one or more actions that influence the performance metrics and are actionable to a selected clinical care provider; a second module for generating a real-time measurement of the one or more performance metrics of the selected clinical care provider; and a third module configured to dynamically display on the graphical user interface of a client device of the selected clinical care provider: (i) the real-time measurement of the one or more performance metrics of the selected clinical care provider, and (ii) an adjustment of the one or more actions.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate employing a probabilistic model to generate a continuous disease status index based on observational data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that employs a probabilistic model to generate probability distributions of disease states of a disease of an entity based on observational data of the entity. The computer executable components can further comprise an index component that generates a disease status index of the disease based on the probability distributions of the disease states.

Abstract: A method of managing the adaptive dispatching of a taxi includes receiving a request for a taxi, the received request being from a passenger; scoring a taxi driver based on at least one of an acceptance rate for assignment, a rejection rate for assignment, an idle rate, and a frequency of job acceptance; scoring the passenger based on at least one of a cancellation rate, a booking frequency, an abandonment rate, and a blacklist factor; matching the passenger to a taxi driver based on the taxi driver score and the passenger score; assigning a passenger to a taxi driver based on one of a conditional historical acceptance rate and a stochastic assignment of either chance constraints or a conditional value at risk; and dispatching the taxi driver to the passenger.

Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

Abstract: A punch item management tool may be provided that coordinates and guides the process of taking a punch item from creation to completion. As one possibility, the punch item management tool may coordinate and guide the interactions between a creator of a punch item, a punch item manager for the punch item, and one or more assignees that are expected to perform work on the punch item. As another possibility, the punch item management tool may coordinate and guide the interactions between an individual serving the dual role of creator and punch item manager for a punch item and one or more assignees that are expected to perform work on the punch item. In either case, the punch item management tool may provide a user interface including various views through which these individuals may interact with one or more punch items.

Abstract: A method for workforce scheduling by a computer system is provided. The method includes receiving a first workforce schedule describing initial assignments of a plurality of workers to a plurality of shifts, each shift comprising one or more work activities, each work activity comprising an activity and a time interval, and storing the first workforce schedule in a memory. The method also includes receiving a cell size associated with each activity, and determining a quantity of workers in each work activity associated with each activity in the first workforce schedule. The method further includes determining cell size violations by dividing the quantity of workers assigned to each work activity by the cell size for the activity associated with the work activity. The method also includes modifying the first workforce schedule to minimize cell size violations, resulting in a second workforce schedule, and storing the second workforce schedule in the memory.

Abstract: An embodiment includes extracting a capability from a dataset representative of a project description of a proposed project using a first machine learning process to form a cluster representative of the capability. The embodiment assigns the capability to a first node of a business operations graph based on a classification result of the capability by a second machine learning process. The embodiment generates a visual indicator based, at least in part, on the assigning of the capability to the first node. The embodiment generates the visual indicator by a process comprising generating a first visual indicator of the capability being assigned to the first node, and a second visual indicator of a development sequence for the capability relative to another capability from the project description based at least in part on an association from the business operations graph between the first node and a second node of the graph.

Abstract: A method for computer modeling a retail environment includes: calculating a space elasticity for an item of an item category in a retail store, using a constrained linear regression model; calculating a cross-space elasticity for the item of the item category in the retail store, using a multiple regression model; generating a number for horizontal facings for the item of the item category in the retail store, using a non-linear multiple-constraint mixed integer optimization model, based on the space elasticity of the item and the cross-space elasticity of the item; and generating an electronic planogram of the item category for the retail store, based on the number of the horizontal facings of the item.

Abstract: A management device includes a ticket issuance unit that issues a ticket indicating work related to a construction site, a position information acquisition unit that acquires position information of a communication terminal acquiring the ticket, and an output unit that outputs the position information of the communication terminal selecting the ticket regarding the same construction site among the position information acquired by the position information acquisition unit.

Abstract: Methods and systems for automatic publication of listings on an ecommerce system are disclosed. In one aspects, a method include filtering historical item listings for items to those items having a similarity to a particular item, determining predictions of future sales prices over future time periods for the particular item based on the filtered historical items, the determined predictions including future sales prices having different probabilities of sale completion, receiving a user selection indicating one or more predictions of future sales prices over one or more future time periods; and determining a time to initiate publication of an on online listing for the particular item based on the selected one or more predictions.

Abstract: A planned resource allocation data store may contain electronic records representing a plurality of planned resource allocations for an enterprise. An actual resource allocation data store may contain electronic records representing a plurality of actual resource allocations. A back-end application computer server may receive, from a remote user device associated with a first user identifier, data about planned and actual resource allocations and update the data stores. The computer server may also receive an indication of a period of time to be analyzed and access information in the planned and actual resource allocation data stores associated with the first user identifier and the period of time. A total planned occupancy value and a total actual occupancy value may then be calculated and displayed via an interactive user interface based on the accessed information.

Abstract: Systems, methods, and other embodiments associated with automatic smart extraction and workflow assignment of action items are described. In one embodiment, a method includes extracting a set of candidate action items from text of a construction project manual; applying static rules to the candidate action items to distinguish valid and invalid candidate action items; evaluating each valid candidate action item with a first machine learning model to label the valid candidate action item either (i) a true action item or (ii) not a true action item; evaluating each true action item with a second machine learning model to allocate each of the true action items to a construction workflow class; and transmitting the set of true action items to a submittal exchange system to populate one or more workflows.

Abstract: A method related to customers orchestrating engagements with service providers. The method includes providing, by a facilitator entity, a customer journey orchestration service that includes: service providers affiliated with the customer journey orchestration service; a virtual datacenter in which cloud-based applications and databases are operably linked to communication devices of the customers and to the affiliated services providers; customer interface portals for enabling the customers to interact with the virtual datacenter, each customer interface portal being associated with a specific customer; and a customer profile database that stores customer profiles corresponding to respective ones of the customers. The method further includes configuring, by the facilitator entity, an account of the customer for participation in the customer journey orchestration service.

Abstract: Systems to establish a security profile may include a memory to store original text from security questionnaires, and values associated with the original text from the questionnaires, the values indicating a section, a control, or a question of the original text. The system may also include a processing unit. The processing unit can identify a set of latent topics present in the original text from the stored security questionnaires, score the original text based on presence or absence of latent topics, receive a new security questionnaire, score the new text from the new security questionnaire based on presence or absence of latent topics, compute a distance between the scored original text from the stored security questionnaires and the scored new text from the new security questionnaire, and link the original text to the new text with a smallest distance between.