Abstract: Producing media content such as films, television shows, commercials, and other formats requires aggregating a large number of resources before, during, and after filming. A method of production scheduling that directly connects to real-time accessible marketplace resources (labor, equipment, services) to help producers find and hire the equipment, creative services, and human capital needed to produce a film or other audiovisual media is disclosed. This method helps producers schedule and book the resources they need to produce content. The resources are tied to a smart timeline that synchronizes production schedule changes against available resources. The method also alerts suppliers and producers of any changes to the production timeline.

Abstract: A method and system for identifying and providing access to a user capable of performing medical services. The method includes receiving a message from a first device of a first user, the message including a request and digital authorization data associated with the first user, identifying, within a proximity of a first location of the first device, a second device of a second user capable of performing an action associated with the request, determining whether the second user provided agreement to perform the action, communicating the digital authorization data to the second device of the second user responsive to determining that the second user provided the agreement, and instructing, responsive to determining that the second user provided the agreement, a vehicle to transport the second user from a second location of the second device to the first location.

Abstract: Systems and techniques for electronic telemetry-based device monitoring are described herein. A set of sensor data may be collected from a sensor array. The set of sensor data may be transmitted to a cloud service platform. A set of instructions may be received based on an evaluation of the set of sensor data. An operating parameter of the component may be adjusted using the set of instructions.

Abstract: An example system configured to assess risk includes a server, an end-user system that generates an activity report in response to an employee performing an action via a computer device communicatively coupled to the end-user system, and a data warehouse that assigns a category to the activity report and populates a data table in a report database based the category of activity report. The server applies a rule to the populated data table. The rule is selected based on the category of the activity report. When the rule indicates that the action represents risky behavior, the server generates a current alert report. After performing validation checks on the current alert report, when the alert report passes the validation checks, the server transmits the current alert report in accordance with the rule. Additionally, the server stores a response to the alert report.

Abstract: Systems, methods, and devices of a voice-directed inspection system that supports multiple inspectors in the inspection of business assets are described. Inspection plans for large and complex business assets can involve several steps. It is advantageous to split large inspection plans into non-overlapping sections to allow multiple inspectors to perform concurrent inspections. Such sectionalizing is also useful in training new inspectors.

Abstract: System trains machine learning model to determine content data, metadata, and context data for support ticket communications, in response to receiving support ticket communications. Machine learning model receives communication associated with support ticket, and determines content data, metadata, and context data for communication. System converts content data, metadata, and context data for communication into first impulse for first channel and second impulse for second channel. System determines first channel value based on first type of conversion of first impulse and any impulses for first channel that are converted from data that is determined for support ticket event. System determines second channel value based on second type of conversion of second impulse and any impulses for second channel that are converted from data that is determined for support ticket event. System uses first channel value and second channel value to generate priority associated with support ticket, and outputs priority.

Abstract: A system for implementing a trial in one or more fields is provided. In an embodiment, a agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

Abstract: According to one embodiment, an inspection support system includes a terminal device, a memory device, and a processing device. The terminal device is auxiliary to a worker inspecting an equipment, and is configured to input and output information. The memory device stores a main scenario of inspection work. The main scenario includes a plurality of block scenarios. The plurality of block scenarios each includes preparation procedure content, inspection item content, and restoration procedure content. The processing device refers to the memory device and transmits instruction information to the terminal device. The instruction information corresponds to at least one of the preparation procedure content, the inspection item content, or the restoration procedure content. The terminal device outputs the instruction information transmitted from the processing device and transmits response information to the processing device. The processing device transmits other instruction information to the terminal device.

Abstract: A workflow deployment system comprising at least one computing device having a memory unit and a first communication unit, and a plurality of software agents, wherein each software agent is installable on an electronic apparatus of the plurality of electronic apparatuses, wherein each software agent exchanges data with the electronic apparatus, wherein the memory unit stores workflow data related to a workflow for performing a task, the workflow comprising at least a first workflow package for a first part of the task, wherein the computing device assigns the first workflow package to the first apparatus, and to provide workflow data related to the first workflow package to the software agent of the first apparatus, to receive a problem solution request from the software agent, to perform, upon reception of the request, a workflow modification process; and to provide the customized data to the software agent of the first apparatus.

Abstract: The inventive system and method address a long felt need for enhancing the efficiency of systems in the interactive conveyance industry for goods and services by providing for the filtering, selection and securing of conveyance services in accordance with one or more of client and representative preferences in substantially real time.

Abstract: Provided is a process including: receiving a tank-nearly-full message indicating that a tank at an oil or gas related facility is or will be ready for a truck to unload and transport fluid accumulating in the tank; in response to the tank-nearly-full message, creating a tank-run record; sending a description of the tank-run to a mobile device of a driver of an oilfield truck; receiving, from the mobile device of the driver of the oilfield truck, a tank-run claimed message indicating that the driver will drive to the oil or gas related facility and transport at least some of the fluid accumulating in the tank; and after the tank-run claimed message, performing steps including: confirming that the tank-run has not yet been claimed; after the confirmation, designating the tank-run as claimed by the driver; and sending confirmation to the mobile device of the driver.

Abstract: A computer-implemented method for automating service provider status and reporting during a service visit includes the initial steps of creating a service provider transaction, initiating the transaction, and calculating an estimated completion time of the transaction. The estimated completion time is based on at least one service condition, which may include the availability of servicing tools and components, the availability of service provider employees, the priority status, if any, of the service provider transaction, and the level of difficulty of service provider transaction, among others. Preferably, the service conditions include constant or variable associated values. The completion time is calculated based upon a sum of these values. If an unexpected service need or service delay arises, the service provider transaction status is updated, which includes recalculating the estimated time of completion based on a new service condition that arose from the unexpected need or delay.

Abstract: A method and system for analyzing interactions (for example between a person and an organization) may include for a number of series of interactions (which may be termed journeys), each interaction represented by a channel and a reason, iterating over the series of interactions by selecting initial information including an interaction subset including one or more interactions, and if there is a set of interaction series among the series of interactions meeting certain conditions, adding an interaction to the interaction subset and determining in a recursive fashion if for the interaction subset, there is a subset among the set of interaction series meeting the conditions which also meet the conditions. Conditions may include a threshold average rating for the set of interaction series, and a threshold number of interaction series in which the interaction subset is found.

Abstract: Systems and methods are provided for dynamic generation of staff analytics and forecasts based on skill and service level. Dynamic forecasting allows for forecast generation in real-time and may be based on historical data regarding skills and results, as well as data science to identify patterns and make predictions. The resulting staffing forecast may therefore provide for efficient management of messaging staff costs while preserving the desired service quality. The staffing forecast may include a volume forecast that is tailored to the unique nature of asynchronous messaging, as well as the unique messaging needs of the entity so as to efficiently manage messaging operations and make data-driven staffing decisions that take service level into account. An exemplary embodiment may include dynamic analytics tools that may use specified target and/or resource numbers (e.g., desired service level) for an existing messaging operation and get a detailed per-skill staffing forecast.

Abstract: A deployment manager for managing a deployment includes storage for storing an asset management request and an asset manager. The asset manager obtains the asset management request for an asset of the deployment; in response to obtaining the asset management request: places the asset into a management mode that enables at least one physical component of the asset to be physically managed; manages the asset based on the asset management request while in the management mode; and places the asset into an active mode that disables the at least one physical component of the asset to be physically managed.

Abstract: An information processing apparatus includes circuitry configured to receive an input to select a scheduled maintenance activity for an image forming apparatus, identify an executable date on which the scheduled maintenance activity is executable based on setting information and information of the scheduled maintenance activity including a maintenance executable period, stored in a memory. The circuitry is configured to search the memory for another scheduled maintenance activity for the image forming apparatus, having an executable date identical to the identified executable date, and reschedule, on the identified executable date, the scheduled maintenance activity and another scheduled maintenance activity.

Abstract: The present invention relates to a method and system for quality compliance, system and operator verification, and process management for point of care biological sample testing systems used in hospitals and other medical delivery environments. Specifically, the present invention may be directed to a computing device configured to generate a plurality of attributes configured to assess a competency level of an operator to operate at least one sample testing instrument, obtain operator derived data pertaining to the operator's ability to operate the at least one sample testing instrument, and determine a competency level of the operator for the at least one sample testing instrument based the plurality of attributes and the operator derived data.

Abstract: A computer-implemented method of training machine learning models for making simulated estimations is provided. The method includes collecting, from a database, a set of historical data, applying one or more transformations to the set of historical data to create a set of model features, and separating the set of model features into one or more pools, each pool comprising one or more model features of the set that are homogeneous with respect to a common value. the method further includes, for each pool, dynamically creating a training set that includes the one or more sets of model features of the pool and at least some of the historical data. The method further includes, for each training set, training a machine learning model on the training set.

Abstract: A method implements a worksite information management system. A selection that includes a task block is received. A task corresponding to a worksite is updated to include the task block. The task is presented to one of a worker interface, a trade interface, and a builder interface. An update to the task block is received. The task is updated using the update to generate an updated task. The updated task is presented to one of the trade interface and the builder interface.

Abstract: A maintenance range optimization apparatus 10 optimizes a range of maintenance on an object that requires maintenance at a plurality of places. The maintenance range optimization apparatus 10 includes a learning processing unit 20 that executes machine learning, using, as learning data, information from when maintenance was previously executed, including a pre-maintenance state, a maintenance cost and a movement cost of a place subjected to maintenance, and constructs a model indicating a relationship between the range of maintenance and an overall cost incurred in maintenance, and a maintenance range setting unit 30 that sets the range of maintenance using the model.