Abstract: In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for harmonizing procurement across distribution networks with heterogeneous product availability are provided. In some embodiments, a method for automatically generating an order guide for a facility associated with an organization is provided, the method comprising: presenting items available in first, second portions of a distribution network; presenting items available via the network; creating a general order guide, and adding a first item thereto; determining that the first item is unavailable and a second item is available in the first portion; identifying substitutes, including the second item, for the first item; generate a facility order guide with items in the first portion based on the general order guide; automatically selecting the second item for the facility order guide; and associating the facility order guide and facility.

Abstract: Systems and methods for altering tablature via geographical interfaces are disclosed. A system may include at least one processor configured to output a first signal for rendering a table, including a plurality of items, columns, and values in cells, wherein one of the columns may retain geographic location values, wherein a subgroup of the items may share a common geographic location value. The processor may output a second signal to render a common map, including markers associated with the geographically dispersed items, enable an interaction with the common map, output a third signal to render column values associated with the plurality of items of the subgroup, receive a fourth signal to update a column value for a particular item, receive a fifth signal to re-render the table, and output a sixth signal to re-render the table, wherein the sixth signal includes the updated value for the particular item.

Abstract: The present disclosure describes devices and methods of providing a technology environment for analyzing programs or initiatives of an enterprise. In particular, a computing device including a processor with computer readable instructions to access client resolution data that includes information regarding one or more resolutions. A resolution may be associated with a claim made by a client, and include multiple variables including correspondences between the client and the enterprise, an actual value corresponding to the claim, and an expected value corresponding to the claim. The computing system may generate a dataset of all of the resolutions, apply an outlier detection model, and provide an interactive summary of one or more outlier analysis tests via a graphical user interface.

Abstract: System and methods are provided to create representations of geographic areas. Such representations enable users to search for items and services of interest and to quickly locate and utilize such items and services. Representations are created using user preferences thus reducing the amount of information presented to a user, i.e., user preferences control the contents of a representation. Control APIs contained within a representation may be used to control devices represented in a representation or to manufacture them using 3-D printing technologies. Methods to learn user preferences via his movements and other actions and impose a user's preferences upon an environment are shown. Some details of the invention are described by applying the invention to problems in retail marketing and figures depicting an implementation illustrate certain aspects of the invention.

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving input data for a plurality of identified data records; receiving a plurality of predetermined policy parameters associated with at least one logistics data provider of the plurality of logistics data providers; dynamically enriching the input data by aggregating current data, forecast data, and predictive data; calculating a respective risk probability value associated with each qualifying provider of the plurality of providers; generating a respective dynamic data model associated with each of the qualifying provider of the plurality of providers; dynamically determining a predetermined policy risk threshold in real time for the identified data record; automatically modifying the predetermined policy risk threshold in real time associated with the at least one qualified provider of the plurality of providers; and dynamically selecting a respective data point for each qualified provider of the pluralit

Abstract: The current invention is a tasking system that operates to allow businesses to define a task and to assign the task to one or more registered individuals, wherein the system includes one or more portable communication apparatus that permits registered individuals to receive and accept tasks and to monitor tasks in real-time.

Abstract: Techniques for a package selection feature for selecting subsets of packages and generating instructions to deliver selected packages are described herein. A model may be generated for recursively determining future forecast for potential deliveries associated with a geographic location based at least in part on capacity constraints, delivery vehicle capacity, and historical delivery data for the geographic location. Information that identifies a set of packages for delivery to the geographic location during a first duration may be received. A value for each subset of a plurality of subsets for the set of packages may be determined based on an algorithm that uses the future forecasts and the information. A particular subset may be selected for delivery to the geographic location for a given carrier during a duration based on an algorithm that uses various parametric values for the particular subset, the future forecasts, and the information.

Abstract: A routing processor implements a multi-stage prescriptive routing model engine based on harvest input data relating to the harvesting of crops at a plurality of locations by a plurality of combines and based on a harvest characteristic representing an attribute of the crops to be harvested by the combines. The multi-stage prescriptive routing model engine generates a combine routing program prescribing the movement of each combine between the locations and includes a demand stage configured to identify combine harvesting demand as a function of the harvest input data and the harvest characteristic and a scheduling stage configured to generate the combine routing program as a function of the harvesting demand.

Abstract: In an example embodiment, a screening question-based online screening mechanism is provided to assess job applicants automatically. More specifically, job-specific questions are automatically generated and asked to applicants to assess the applicants using the answers they provide. Answers to these questions are more recent than facts contained in a user profile and thus are more reliable measures of an appropriateness of an applicant's skills for a particular job.

Abstract: Systems and methods for distributed business process management are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for configuration-driven distributed orchestration using different software components to execute a complex business process may include: (1) receiving a request for a runtime flow from a flow management adapter; (2) reading a flow configuration from the request; (3) creating an instance of the runtime flow; (4) initiating a service call to each component in the runtime flow; (5) creating a runtime instance in a database along with a state of each dependency in the runtime flow; and in response to external dependencies being met: (6) building and sending message to the components using a message builder; (7) initiating flow actions via an event-driven scheduler; and (8) making a service call to at least one of the components using the message builders.

Abstract: A graphical workflow definition and management tool enables administrators and other authorized users to implement a workflow process that can be used to evaluate project submissions or other applications that require step-by-step process completion. The steps required to navigate through the workflow are first defined. Inputs, outputs, and actions, including conditional criteria, can be specified for the steps. The flow of control between the individual steps in the workflow is mapped out; changes to the status of a project submission can cause a submission to migrate to a succeeding step in the workflow. A “sandbox” testing environment allows changes to any aspect of the workflow to be safely evaluated without affecting live data. Conflicts between production and test workflows are identified and intelligently resolved.

Abstract: A system and method for the collection and processing of workplace, public and private data to predict and score risk incident frequency and severity for a commercial client. In one embodiment, the risk assessment may be performed using one or more machine learning techniques.

Abstract: Workflow sharing system and method are disclosed that allow a workflow server to provide a shared workflow, wherein the shared workflow generates at least one manifest, wherein the at least one manifest comprises a third-party interaction field, a credentials field, an input parameter field, and an output parameter field, wherein the workflow server receives a request for access to the shared workflow and transmits the at least one manifest of the shared workflow in response to the request for access to the shared workflow, wherein the at least one manifest comprises an acceptance requirement of the third-party interaction field, the credentials field, the input parameter field, and the output parameter field, wherein the workflow server receive consents of the acceptance requirement of the at least one manifest; and allows access to the shared workflow in response to the received consent of the acceptance requirement of the at least one manifest.

Abstract: According to various embodiments, described herein are systems and methods for training machine learning (ML) models to generate real-time scores to predict the probabilities of task completion. In one embodiment, an exemplary method includes the operations of receiving, from a data store, a set of features and a workflow for training a first type of ML models, the workflow specifying a data source, a number of stages and associated parameters for training the ML models; retrieving, from the data source, training data for the set of features; and segmenting the training data into different segments. The method further includes the operations of training a separate first type of ML model using each of the different segment of the training data in accordance with the workflow; and persisting the first type of trained ML models into the data storage. The method also includes using a trained ML model to generate probability scores and displaying the scores to users in real-time.

Abstract: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

Abstract: A method includes defining a first specification for a first network slice, determining a first equilibrium value for a first time period for the first network slice offering, receiving a first bid price for the first network slice for the first time period from a first customer, comparing the first equilibrium value to the first bid price; and providing services using the network slice to the customer during the time period in accordance with the first specification and the bid price if the bid price meets or exceeds the equilibrium value.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to instruct a user device of a user to capture first sensor data of an object performing one or more known actions. The system also includes a training controller to allocate points as an award to the user of the user device for correctly capturing the object performing the one or more known actions, and to generate an instruction for the user to capture second sensor data of the object performing one or more unknown actions if the user has exceeded a threshold of awarded points. The training controller trains a machine learning function based on the second sensor data of the object performing the one or more unknown actions as identified by the user having exceeded the threshold of awarded points.

Abstract: Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving an input defining at least two master nodes and at least one master link, each master node having at least one or more respective data properties populated with master node data and the master link having at least one or more master link data, the master nodes and master link defining a master semantic network, importing source data into a second semantic network, comparing the source data to the master node data and making a first determination that the source data reflects a data relationship defined by the master node data, and based on the first determination, populating the source data into the second semantic network, wherein the source data populated within the second semantic network reflects the data relationship defined by the master node data and the master link data.

Abstract: An optimization system has a plurality of nodes, each including: a calculation processing unit that calculates an optimum value of a determination variable representing a parameter that controls the nodes by using the ADMM; and a function value calculation unit that receives an input of a value of the determination variable and calculates the value of the objective function based on a calculation model constructed by a learning processing. An arbitrary value of the determination variable is input to the function value calculation unit, and the calculation processing unit substitutes the value of the objective function calculated by the function value calculation unit and the arbitrary value of the determination variable into a second optimization problem by dual transformation of the first optimization problem, thereby repeatedly executing a processing of calculating a value of the dual variable until the value of the dual variable satisfies a predetermined condition.

Abstract: A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.