Abstract: Systems, methods, and computer machines for electronically monitoring an employee's behavior to identify risk are described. A method includes receiving first data from legal databases that includes information regarding legal activity relating to the employee, receiving second data from financial databases that includes financial activity relating to the employee, receiving third data relating to activities electronically conducted by the employee on a network, receiving fourth data from social networking databases that includes social networking activity conducted by the employee, aggregating the first, second, third, and fourth data into an employee profile relating to the employee, determining legally Protected Information regarding the employee from the employee profile, determining anomalies associated with the employee based on the employee profile and the legally Protected Information, and generating an alert relating to the anomalies.

Abstract: A vehicle allocation system includes: an automatic driving vehicle; a mobile terminal configured to transmit a vehicle allocation request signal containing at least information on a vehicle allocation place of the automatic driving vehicle; and a server configured to allocate the automatic driving vehicle at the vehicle allocation place in response to reception of the vehicle allocation request signal, give a notification to the mobile terminal in response to arrival of the automatic driving vehicle from the vehicle allocation place within a predetermined distance range, and permit usage of the automatic driving vehicle when a user of the mobile terminal is authenticated based on authentication information transmitted from the mobile terminal in response to the notification.

Abstract: A Software-as-a-Service infrastructure is provided to perform data analytics, wherein a given analytic is defined in a spreadsheet according to a formula, and wherein the formula is associated with an Environmental, Social and Governance (ESG) impact. The infrastructure comprises program code configured to receive a request, determine whether the request is associated with data of a first type and, if so, to clone the spreadsheet. The code is further configured to receive results from execution of the spreadsheet with respect to given data, and to provide the results for display in response to the request. The spreadsheet executes independently of execution of the computer program code.

Abstract: Systems and methods for digital integration of financial features between a user and a service provider is provided. For example, if a user device is registered with the service provider, the user device may receive an electronic notification (e.g., calendar entry) related to outstanding account operations. The user device may be able to complete the outstanding account operations by accessing the electronic notification and embedded financial information.

Abstract: Systems and methods are provided herein for producing and vending ice in an energy-efficient manner. A system for producing and vending ice comprises: an ice-making device configured to manufacture ice; a reservoir coupled to the ice-making device and configured to store the manufactured ice manufactured; and a control circuit communicatively coupled to the ice-making device, the control circuit configured to: determine a beginning ice inventory at a first time; determine a predicted ice demand for a first period, wherein the predicted ice demand is a function of at least a historical factor, a weather factor, a customer social event factor, and a public social event factor; determine an ice manufacturing quantity based on the beginning ice inventory, the predicted ice demand, and a manufacturing capacity of the ice-making device; and cause the ice-making device to produce an amount of ice consistent with the determined ice manufacturing quantity.

Abstract: A computer-implemented method for providing a personalized interface to a user based on whether the user is serious about making a purchase may include: obtaining customer identification data and customer input data a customer, wherein the customer input data comprises a request from the customer; determining a request status of the customer based on the customer identification data and the customer input data; obtaining customer interface activity data of the customer based on the request status; obtaining customer purchasing data of the customer based on the request status; generating a prediction model based on the customer interface activity data and the customer purchasing data; training the generated prediction model by classifying the customer based on the customer interface activity data and the customer purchasing data; obtaining user identification data and user interface activity data of a user via a user device, the user interface activity data indicating interactive activities between the user an

Abstract: Systems and methods for automated path-based recommendation for risk mitigation are provided. An entity assessment server, responsive to a request for a recommendation for modifying a current risk assessment score of an entity to a target nsk assessment score, accesses an input attribute vector for the entity and clusters of entities defined by historical attribute vectors. The entity assessment server assigns the input attribute vector to a particular cluster and determines a requirement on movement from a first point to a second point in a multi-dimensional space based on the statistics computed from the particular cluster. The first point corresponds to the current risk assessment score and the second point corresponds to the target risk assessment score. The entity assessment server computes an attribute-change vector so that a path defined by the attribute-change vector complies with the requirement and generates the recommendation from the attribute-change vector.

Abstract: The present disclosure describes devices and methods of providing a technology environment for analyzing unstructured data to generate structured data. A set of electronic documents, each electronic document associated with a type of product, may be accessed. A data instance for each of the documents may be generated. The data instance may include a plurality of data fields that are based on the type of product. The electronic documents may be analyzed to identify values for each of the plurality of data fields. Analyzing the electronic documents may comprise applying a respective character recognition algorithm to respective electronic documents, and assigning a confidence factor to each of the values. The data instances comprising the values for each of the plurality of data fields may be stored in a second database.

Abstract: Aspects of the technology relate to providing service area maps for an autonomous vehicle transportation service having a fleet of vehicles. For instance, each vehicle of the fleet is associated with a polygon corresponding to a service area for that vehicle. A first location may be received from a client computing device, and a set of vehicles of the fleet of vehicles that are currently available to provide transportation services may be identified based on the first location. The polygons associated with each of the set of vehicles may be used to determine a first polygon having a geographic area. A first portion of map information corresponding to the geographic area of the first polygon may be identified, and the first portion may be provided to the client computing device for display to a user such that the portion represents a currently available service area for the user.

Abstract: Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.

Abstract: Techniques for building automated workflow sequences associated with a document review platform are provided. A method includes accessing trigger event data from a trigger event database and action data from an action database; presenting a user interface to create a workflow; adding a function block to the workflow by: detecting a selection of an add function block option; presenting a function block including at least one of (i) a user-selectable option to select a trigger event from a list of trigger events populated based on the trigger event data or (ii) a user-selectable option to select an action from a list of actions populated based on the action data; and presenting the function block including at least one of a selected trigger event or a selected action; detecting that the workflow is ready for deployment; translating the workflow into a logic-based representation of the workflow; and deploying the logic-based representation.

Abstract: Systems and methods for dynamic demand sensing in a supply chain in which constantly-updated data is used to select a machine learning model or retrain a pre-selected machine learning model, for forecasting sales of a product at a specific location. The updated data includes product information and geographic information.

Abstract: A schedule creation assisting device 100 includes: a storage unit that stores information on a total working time length in a specified period of each of workers who work in cooperation in a specified operation, a number of the workers necessary at each timing during the period, and a constraint condition regarding allocation of the workers to the operation; and a computation unit 104 that computes an Ising model in which, regarding an objective function including, as terms, the total working time length in the period, the number of necessary workers, and a constraint condition function that is minimized when the constraint condition is satisfied, whether each of the workers is to attend at work is set as a spin, and a sensitivity between variables of the constraint condition function is set as an intensity of interaction between the spins, and that outputs a schedule in which whether each of the workers is to attend at work at the each timing during the specified period is specified based on the result.

Abstract: A central fuel management system includes a pre-authorization module arranged to receive carrier, trailer, and driver identifying information; match, for each meter under a truck rack, one or more loads associated with the carrier, trailer, and driver identifying information; query for each of the one or more loads: a nomination system containing information on book stock; a terminal automated system containing information on physical inventory at two or more terminals; and a third party allocation management system containing information on loading quantity limits. On the basis of the query the pre-authorization module decides whether each load of the one or more loads is authorized prior to its loading. Where authorized, the driver loads at the truck rack.

Abstract: A computer-implemented method for managing a provision of a resource. The method includes the following steps: receiving a request regarding a utilization of the resource, validating the request, and, based on the validation of the request, establishing a state channel.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period.

Abstract: A method and system for allocating displays to a plurality of stores grouped into a plurality of store configurations is presented. It includes receiving a plurality of counts, that specifies spaces available in the store configuration for one of a plurality of types of displays, a ranking of a plurality of displays, wherein the ranking is based on a benefit of each of the plurality of displays for the store configuration, and when the plurality of displays are to be allocated to the plurality of stores; determining a subset of the plurality of displays that meet one or more conditions related to at least one of a forecasted sell through or forecasted margin of the plurality of displays for the store, allocating at least some of the displays based on the ranking of the displays, and generating an indication of the allocated displays for output to a user.

Abstract: A logistics system for managing a network of independent delivery partners may include models to detect delivery defects. The models may generate defect scores for each onboarded delivery partner. The system may collect delivery data to continuously update the models. The updated models may score delivery partners for early detection of delivery defects and determine remediations steps. The system may train one or more models to determine the scores based on a terminating step of the delivery steps. The scores may indicate a likelihood the terminating step was caused by intentional action or by accident. The system may determine remediations steps based on the likelihood of intentional action.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to verify accuracy of a shipment. In some embodiments, items loaded to and/or unloaded from a delivery vehicle are scanned and compared to a delivery schedule, and a unique identifier is provided to confirm proper loading/unloading at a subsequent scheduled stop of the vehicle.

Abstract: Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.