Abstract: Disclosed is a method for supervising enterprise information based on smart gas, implemented by a smart gas government safety supervision management platform of an IoT system for supervising enterprise information based on smart gas. The method includes: determining a gas data list; determining a correlation between gas terminal enterprises; determining one or more gas terminal enterprise groups; determining, for each group of the one or more gas terminal enterprise groups, a first upload characteristic of gas terminal enterprises in the group; determining a data upload instruction and sending the data upload instruction to a corresponding gas terminal enterprise; obtaining sampling data uploaded by the gas terminal enterprises; determining a second upload characteristic of the gas terminal enterprises in each group of the one or more gas terminal enterprise groups; and generating an upload parameter instruction, which instructs the gas sensing devices to collect and upload auxiliary data.

Abstract: A contact center server receives a request to determine a number of agents working at a future time. The contact center server generates, using a combination engine, a combination of one or more modeling engines from multiple modeling engines. The contact center server determines, using the combination of the one or more modeling engines, the number of agents. The contact center server provides an output representing the number of agents.

Abstract: A virtual assistant is configured to automatically identify tasks for a user by processing text from various applications of a unified communications platform (e.g., transcripts of conferences, voicemails, emails, and chat logs) to detect action items and infer associated action item data (e.g., task owner, location, and due date). For example, a virtual assistant system may be configured to utilize machine learning natural language understanding technology to extract action items from various input text to form a to-do list with due dates for the task owner. In some implementations, a two-tier machine learning model topology is used to identify action items in strings. The system may recognize named entities such as nouns, verbs, dates/times, locations of action item sentences. The output information may be displayed on a dashboard, in push notifications, or within other user interface aspects of a personal device, thus providing notification or task planning for personal assistance.

Abstract: An estimation device configured to estimate career plan candidates for a subject user includes an acquisition unit, an estimation unit, and an estimation result output unit. The acquisition unit acquires business features for each business that the subject user has been in charge of up to the present. Thereafter, the estimation unit estimates career plan candidates appropriate for the subject user from the subject user's business features on the basis of a model trained using business features of each reference user who has responded that he/she has an aptitude for his/her current business field. The estimation result output unit outputs results of estimating the career plan candidates appropriate for the subject user.

Abstract: A method and a system are provided that include providing a user interface (UI) of a first application, the user interface of the first application comprising a list of tasks, a visual status indicator of a status of each task in the list, and an assignment UI element to request that a corresponding task on the list be completed, receiving, via the user interface of the first application, user input indicating a request of a user to create a new task, causing the new task to be added to the list of tasks in the user interface of the first application with a first visual status indicator indicating that a status of the new task is incomplete, receiving, via the user interface of the first application, a user selection of the assignment UI element to request that the new task be completed on behalf of the user, causing a first notification indicating the new task and the request to complete the new task on behalf of the user to be sent to a second application, receiving a second notification associated with the

Abstract: In certain aspects of the present disclosure, a computer-implemented method includes receiving, from a manager device, at least one task availability constraint, wherein the at least one task availability constraint is configured at the manager device. The method includes receiving, from at least one managed device, configured task window settings, wherein the configured task window settings are configured at the at least one managed device based on the at least one task availability constraint. The method includes creating a task window associated with the at least one managed device based on the configured task window settings and the at least one task availability constraint. Systems and machine-readable media are also provided.

Abstract: Embodiments described herein are generally related to systems and methods for providing cloud environments, for use by tenants of a cloud infrastructure environment in accessing software products, services, or other offerings associated with the environment, including the use of a cloud subscription manager service or component for managing subscriptions associated with cloud services. A subscription manager can be provided within a cloud infrastructure environment, and can be utilized to create and manage subscriptions, such as the subscriptions of customers of the operators. Upon the determination of a lifecycle event associated with the subscription for a service, a stream event can be created and published to an event stream by the subscription manager. This stream event can be recorded by the subscription manager as an entry in a data store comprising the event stream managed by the subscription manager, and thereafter used in managing the subscription.

Abstract: In accordance with an embodiment, systems and methods are provided for enriching cloud usage data in order to reduce end-to-end latency for use of such data. Entity maps are provided that can be utilized in order to join enriching metadata to raw usage data. Such enrichment of raw usage data can be utilized to reduce end-to-end latency, negating or removing several steps that negatively contribute to the end-to-end latency including the collecting of the usage data from the service teams at the metering hour intervals, the collecting of the metadata to be associated with the collected usage data, the enriching of the usage data with the proper metadata, the pricing of the usage, and then the step of ultimately preparing an invoice based on the priced usage.

Abstract: A method for managing a budget includes determining, by a budget management system, funds of a project management account that are to be routed to a task manager for a project. The determining comprises: determining a current progress of a task managed by the task manager, the task included in a budget for the project that identifies the task manager and that includes payment information for the task manager that specifies a financial account, determining an amount owed to the task manager, and setting the amount owed to the task manager as the amount of the funds to be routed to the task manager. The method further comprises transmitting, by the budget management system to a financial computing system, a request to transfer the determined funds to the financial account specified by the payment information.

Abstract: A method for determining a resting place for a vehicle to be rested during a rest time predetermined by an operating server is provided. The method for determining a resting place of the vehicle includes, determining an allocation costs, for a plurality of resting places for a vehicle scheduled to be rested, by reflecting at least one of a moving distance to a resting place, expected demand information of the resting place, a driver's preference, whether there is a reservation call at the time of restarting driving after a rest time, and remaining driving time after the time of restarting the driving; and determining a target resting place of the vehicle scheduled to be rested based on the allocation costs for the plurality of resting places.

Abstract: Techniques for enhancing software extensibility in cloud environments are disclosed. One or more embodiments receive instructions to define services and workers within the cloud, categorize workers based on predefined types, apply corresponding predefined functionality, and instantiate corresponding cloud-based infrastructure. Additionally, one or more embodiments facilitate communication and integration with third-party services. One or more embodiments further generate canary components to help ensure service operationality. An approval processes may be used to certify compliance with cloud standards. Such techniques enhance cloud service deployment, scalability, and interoperability while maintaining security and reliability.

Abstract: A system and method of a multi-level tank-based production system. Embodiments include planning data for one or more finished goods, the one or more finished goods produced from one or more semi-finished goods stored in one or more tanks, identifying, from the planning data, planned production orders for the one or more finished goods in each time bucket of a planning period, modifying the planned production orders to satisfy lot-size requirements of production operations of the one or more finished goods and time and tank capacity constraints of the one or more semi-finished goods, generating a tank-based production plan based, at least in part, on the modified planned production orders, and producing the one or more finished goods according to the tank-based production plan.

Abstract: Methods and systems for managing data workflows performed by data processing systems throughout a distributed environment are disclosed. To manager data workflows, a system may include a data workflow manager and one or more data processing systems. The data workflow manager may host and operate a digital twin intended to duplicate operation of each corresponding data processing system involved in a data workflow. In the event of a loss of functionality of a data processing system involved in the data workflow, the data workflow manager may initiate operation of a corresponding digital twin and re-route the data workflow through the digital twin to facilitate continued performance of computer-implemented services based on the data workflow. When a replacement data processing system becomes available, the replacement data processing system may be inserted into the data workflow and the digital twin may no longer be used.

Abstract: A method, apparatus and system for performing asset lifecycle modelling. The model is used to test various asset intervention hypotheses to generate a hazard rate and an intervention rate that may be used to minimize hazard risk across a system comprising assets that fail over their lifetimes.

Abstract: A computer implemented system, method, or computer readable medium for providing a interactive digital tool that permits users to investigate and evaluate financial, trade, and business-related risks. The system, method, or computer readable medium can be configured to include a software engine that identifies risk subgraphs or other subgraph features in accordance with automated traversal based on a set of rules.

Abstract: Various methods, apparatuses/systems, and media for proactive third party risk monitoring and management are disclosed.

Abstract: Disclosed is a method and an Internet of Things (IoT) system for management and control of pipeline corridor emergency materials based on smart gas supervision. The IoT system comprises a smart gas company management platform, a gas equipment object platform, and a government gas supervision management platform.

Abstract: The present invention involves an executive decision support system and method which in a first step, the components of each category of resource are identified and listed/commented upon by one or more individuals in the company, in this exemplary embodiment a collection of the top company executives such as Chief Executive Officer, Chief Operating Officer, Chief Technology Officer, Chief Financial Officer, etc. (the “Executive Team”). Second, each resource is rated for its competitive importance by the members of the Executive Team. Third, the resources with ratings and comments are located on markers and arranged in a hierarchy to provide a graphical display of markers to facilitate executive focus on key resources. Fourth, the members of the Executive may review and revise each marker to more closely reflect the consensus view, occasionally altering the hierarchy.

Abstract: An apparatus and method for classifying an entity datum into instruction sets is provided. The apparatus includes processor that may receive the entity data, which includes data describing entity operations and an assessment of operations of each entity. The processor may receive instruction sets including an impact datum describing an effect of a respective instruction set on the entity data and classify elements of data describing assessments into instruction sets. The processor uses a machine learning model including a classifier to correlate data describing the assessment with data describing instruction sets and to generate a user interface. The user interface configures a display device to display a sequence based on classification of elements of data describing assessments of respective instruction sets into at least some instruction sets. The sequence may change a color, or an order based on the impact datum relative to the entity data.

Abstract: A computer-implemented method for predicting agricultural management practices, includes: generating a training dataset that comprises a plurality of years of known management practices associated with a plurality of fields dispersed within geographic region along with a corresponding plurality of years of first remote sense images; training a Bayesian crop model to predict the plurality of years of known management practices associated with the plurality of fields using the corresponding plurality of years of first remote sense images as inputs; providing a time series of second remote sense images associated with a corresponding field having unknown management practices as exclusive inputs to the Bayesian crop model; and executing the Bayesian crop model to predict a key management practices for the corresponding field.

Abstract: A computer-implemented method for predicting agricultural management practices, includes: generating a training dataset that comprises a plurality of years of known management practices associated with a plurality of fields dispersed within geographic region along with a corresponding plurality of years of first remote sense images; training a Bayesian crop model to predict the plurality of years of known management practices associated with the plurality of fields using the corresponding plurality of years of first remote sense images as inputs; providing a time series of second remote sense images associated with a corresponding field having unknown management practices as exclusive inputs to the Bayesian crop model; and executing the Bayesian crop model to predict a key management practices for the corresponding field.

Abstract: A computer-implemented method for predicting agricultural management practices, includes: generating a training dataset that comprises a plurality of years of known management practices associated with a plurality of fields dispersed within geographic region along with a corresponding plurality of years of first remote sense images; training a Bayesian crop model to predict the plurality of years of known management practices associated with the plurality of fields using the corresponding plurality of years of first remote sense images as inputs; providing a time series of second remote sense images associated with a corresponding field having unknown management practices as exclusive inputs to the Bayesian crop model; and executing the Bayesian crop model to predict a key management practices for the corresponding field.

Abstract: A method for routine improvement for an entity may include receiving an entity profile, generating, by a first datum, and receiving a second datum. The method may include generating at least an entity-specific improvement recommendation as a function of the second datum. Further, the method may include determining at least a user interface element as a function of the at least an entity-specific improvement recommendation. Moreover, the method may include transmitting the at least a user interface element to a display.

Abstract: A method of maintaining trailer asset data in a database of a yard is presented, the method including comparing an update time difference for one or more database entries to a predetermined data refresh threshold, wherein the update time difference for a database entry is a difference between a current time and a time the database entry was last updated; commanding an ego vehicle to move a first asset within the yard from a first location to a second location; then later causing the ego vehicle to move the first asset from the first location to the second location via a route that passes by the first associated location; and updating the first database entry with newer data obtained from at least one sensor located on the ego vehicle when the ego vehicle passes by the first associated location.

Abstract: A mail-order drug delivery system includes an order processing device configured to determine a first shipping mode and a corresponding first shipping carrier, generate an expected shipping duration associated with delivery of a drug, determine an origin forecasted temperature, determine a destination forecasted temperature, associate a shipping container with the drug to contain the drug, access temperature model data associated with the shipping container; and determine a predicted temperature of the drug at the shipping destination. The determination is based on forecasted temperatures, the expected shipping duration, the temperature model data, a next pickup time, a storage location of the drug, and a time difference between packing and the next pickup time.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: A method is disclosed. The method includes causing the opening of a lockable measuring module. The method includes obtaining at least one measurement parameter of a shipment deposited in the measuring module. The method includes providing, at least partially based on the obtained at least one measurement parameter, measurement information. The measurement information represents at least one weight and/or size of the shipment deposited in the measuring module. The at least one shipping option for shipping the shipment is determined at least partially based on the provided measurement information.

Abstract: Disclosed are systems, apparatuses, methods, and computer readable medium, and circuits for identifying delay risks in carrier shipping services. A method includes: receiving a pre-shipment notification from a customer indicating that a load will be collected from a source location and delivered to a destination location; determining a collection date to collect the load based on a status of contents of the load; identifying a first carrier and a service level for the load considering a requested delivery date; prior to collection of the load, determining a predicted delivery date for the load based on friction within a transit configuration for the load using the first carrier, wherein the friction is associated with at least one intrinsic constraint of the first carrier and at least one extrinsic constraint; and in response to determining that the predicted delivery date is after the requested delivery date, identifying at least one correction.

Abstract: A method for sorting a plurality of items and slot allocation in association with the plurality of items. The method may include collecting order data and slot data, wherein the slot data is information associated with a plurality of slots, each slot of the plurality of slots allows for placement of item bag over slot, and the plurality of items is to be sorted and inserted into bags associated with the plurality of slots; calculating combinations of order-slot allocation based on the order data and the slot data to estimate total time; and selecting a combination of the combinations of order-slot allocation with minimal total time and applying the selected combination.

Abstract: A computer implemented supply chain cross reference system operates to increase product information flow associated with a plurality of products between a plurality of tiers in a supply chain.

Abstract: An inventory interaction model predicts user interactions with items of a location for a physical warehouse included with other warehouses in a region. The location is described with features that include the nearby locations and the respective user interactions with the respective item assortments, so that the item interactions for the evaluated location incorporate location-location effects in model predictions. To effectively train the model in the absence of prior interaction data for a location, training examples are generated from existing locations and user interaction data of item assortments by selecting a portion of the locations for the training examples and including nearby location interaction data, labeling the training example output with item interactions for the location. The trained model is then applied for an item assortment at a location by describing nearby locations in evaluating candidate locations and item assortments.

Abstract: An online system evaluates different item assortments for a physical warehouse having limited capacity to stock items. Each item assortment is stocked at the physical warehouse in proportion to an assortment split weight. The items at the warehouse are available for users to order, for example to be gathered by a picker and physically delivered to users near the warehouse. Rather than display all items actually stocked at the physical warehouse to all users, the different item assortments are displayed to different users. Users may order items from the assigned item assortment and, because both item assortments are actually stocked at the physical warehouse, orders from either item assortment may be successfully fulfilled for delivery. The different user interfaces thus permit evaluation of the preferred item assortment by users while maintaining expected delivery capability and while using the same storage capacity of the physical warehouse.

Abstract: An online concierge system allows users to place orders for fulfillment by pickers. Orders have various attributes (e.g., dimensions, weight, contents, etc.), and the pickers may have corresponding characteristics affecting capability of fulfilling orders. To optimize allocation of orders to pickers for fulfillment, the online concierge system trains an order validation model that predicts a probability of a picker encountering a problem fulfilling an order based on characteristics of the picker and attributes of the order. The order validation model is trained from training examples based on previous orders and labels indicating whether a picker encountered a problem with fulfilling the order. The order validation model can then be used to predict deliverability of future orders or to specify limits on one or more attributes of orders for fulfillment.

Abstract: An inventory interaction model predicts user interactions with items to be included in an item assortment in a warehouse. The item is described with features that include the co-located items and the respective user interactions, so that the item interactions for the evaluated item incorporate item-item effects in its predictions. To train the model effectively in the absence of prior interaction data for an item, training examples are generated from existing item and user interaction data of co-located items by selecting a portion of the items for the examples and including co-located item data, labeling the training example output with item interactions for the item. The trained model is then applied for an item assortment by describing co-located item features of the item assortment in evaluating candidate items.

Abstract: A method for prioritizing inventory checks and audits includes receiving a plurality of product identifiers. Each respective product identifier of the plurality of product identifiers is associated with a respective product of a plurality of products. For each respective product identifier of the plurality of product identifiers, the method also includes predicting, using an inventory predictor model, a mixture probability distribution over possible quantities for the associated respective product, and generating, using the mixture probability distribution, a respective inventory confidence score. Here, the respective inventory confidence score indicates a confidence estimation of an actual inventory of the respective associated product.

Abstract: Methods and systems for optimizing a ship-from-shore process are provided. A decision model receives forecasted demand and node data representing a plurality of possible shipping node configurations. The decision model generates output data that includes an assignment of the forecasted demand to nodes among the plurality of nodes based on the shipping cost data and the node data while optimizing a supply chain objective subject to a plurality of constraints, the plurality of constraints including a fulfillment of the forecasted demand within a predetermined delivery service level, and identifies an optimal configuration for each shipping node. In some aspects, the decision model segments the node data to improve efficiency of analysis.

Abstract: A system and method for generating a notification of a price change for a transaction and facilitating an associated price adjustment based on electronic image capture of a paper receipt. An image capture system captures an electronic image of a paper transaction receipt, which is transmitted to a data extraction processor that extracts transaction receipt data from the captured electronic image. A unique key is generated that is matched to a transaction record to generate a reliability score for the OCRed image and to authorize price matching. If the price monitoring server identifies that the price of a purchased transaction item has changed, the price monitoring server automatically generates a notification to the user indicating the price change and an email to the customer service department of the merchant from which the transaction item was purchased, requesting a price adjustment that is credited back to the payment instrument.

Abstract: A system and method for reducing loss for retail stores is provided. In one aspect, the system prevents loss caused by fraudulent returns. In another aspect, the system prevents loss by increasing worker efficiency. The system generally comprises a computing entity having a user interface, a processor operably connected to said computing entity, a scanning device operably connected to the processor, and a non-transitory computer-readable medium having instructions stored thereon. The system generates return actions, which may instruct a user whether or not to process a return.

Abstract: A system and method for reducing loss for retail stores is provided. In one aspect, the system prevents loss caused by fraudulent returns. In another aspect, the system prevents loss by increasing worker efficiency. The system generally comprises a computing entity having a user interface, a processor operably connected to said computing entity, a scanning device operably connected to the processor, and a non-transitory computer-readable medium having instructions stored thereon. The system generates return actions, which may instruct a user whether or not to process a return.

Abstract: The technology disclosed relates to a method for tracking inventory items including dividing an area of real space into a plurality of cells and identifying inventory items and their locations in the area of real space using sequences of images produced by at least two sensors. The identifying of inventory items further includes comparing a score for the particular inventory item having a location matching a particular cell and based on one or more counts of inventory events, and a second threshold, and accepting or rejecting the particular inventory item as the predicted inventory item in dependence on whether the score is above the second threshold. In response to the identification of the inventory items, the method also includes determining, for a particular inventory item matched with a particular cell, whether a count of the particular inventory item is below a third threshold for re-stocking the particular inventory item.

Abstract: The present invention relates to a system and method for generating and managing insights through collaborative ideation among AI personas. The system leverages a multidimensional array data structure to store and organize insights, along with associated metadata like task stage, progress, expected delivery, and documentation. Each insight is linked to relevant personas to tap into their unique expertise and perspectives. The system also includes a metadata governance framework to ensure data consistency, accuracy and completeness. Regular check-ins, user feedback, and continuous improvement drive the ideation process. The Collaborative Intelligence System enables efficient generation, management and application of insights to drive innovation and business value.

Abstract: Systems and methods for generating units of work in a collaboration environment are disclosed. Exemplary implementations may: manage environment state information including work units records describing units of work assigned to individual users within the collaboration environment, individual sets of work unit records being defined by a record hierarchy, individual units of work including one or more digital content items; obtain user input information conveying user input on, or relating to, individual digital content items of the individual units of work; generate one or more work unit records based on the user input information, such that responsive to the user input information conveying first user input by a first user on, or relating to, a first digital content item, generate a second work unit record describing a second unit of work, the second work unit record being subordinate to a first work unit record; and/or perform other operations.

Abstract: Systems and methods for tracking and verifying software capabilities may include obtaining, by a computer from a reporting database, a set of project requirements associated with a software under development, the set of project requirements replicated from a project database to the reporting database, obtaining, from the reporting database, a set of testing results generated by a test program applied to code of the software under development, the set of testing results replicated from a testing database to the reporting database, extracting, from the reporting database, each project requirement associated with the software under development and each testing result generated for the code of the software under development, wherein the computer extracts each project requirement and each testing result according to a set of mapping pre-configurations, and generating, by the computer, an email message combining the project requirement and the testing result to transmit to a set of recipients.

Abstract: The present disclosure relates to a method, apparatus and computer program for improving the security of digital documents during a digital document execution process.

Abstract: Systems and methods relating to item identification. A machine readable indicia (such as a bar code or a QR code or other machine readable indicia) is displayed on a screen of an item to be identified. The indicia, when read and decoded by another device, provides details regarding the item's identity. To set the identity, a user is provided with a listing of possible identities for the item and the user selects one of the possible identities. A suitable machine readable indicia, based on the user's selection, is then downloaded or stored on the item for display on the item's screen. The indicia and/or the listing may be stored on a database remote from the item.

Abstract: An apparatus comprises a processing device configured to obtain a first data structure characterizing a description of a given meeting, to perform natural language processing of the first data structure utilizing a first machine learning model to identify topics for the given meeting, to obtain a second data structure characterizing potential invitees for the given meeting, and to create a third data structure characterizing the identified topics of the given meeting and a given potential invitee for the given meeting. The processing device is also configured to process the third data structure utilizing a second machine learning model to generate a prediction as to a likelihood of the given potential invitee attending the given meeting, and to generate an invitation to the given meeting for the given potential invitee based at least in part on the prediction of the likelihood of the given potential invitee attending the given meeting.

Abstract: A method of determining service provider appointments is provided. The method can include providing, by a data processor of a multi-provider scheduling platform, at least one conversational agent configured to receive query inputs and generate response outputs associated with scheduling target assignments performed by at least one service provider. First data characterizing a query input provided to the at least one conversational agent can be received. The query input can include a request for at least one service provider to perform target assignment at a target assignment time. Second data characterizing a response output contextually relevant to the query input can be determined. The response output can include one or more appointments corresponding to the target assignment and the target assignment time and the response output including the one or more appointments can be provided to the conversational agent. Related systems and computer program products are also provided.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that enable network transactions between user accounts belonging to different network transaction platforms and unify user account modifications across user accounts on different network transaction platforms. For instance, the disclosed systems can cause two or more network transaction platforms to transmit and/or receive transactional values from one or more intermediary holding accounts upon receiving network transaction requests between user accounts belonging to the two or more network transaction platforms. In addition, the disclosed system can unify user account data on different network transaction platforms by modifying or updating the user account data (e.g., user attributes) by propagating schematized data messages to the one or more other network transaction platforms with instructions to modify or update the user attributes on other user accounts related to the user account.

Abstract: Various embodiments concern facilitating a money transfer by creating a first profile for a first user and a second profile for a second user. The first user can select the second profile from a plurality of profiles. The first user can enter a value designation for the transfer of money from the first user to the second user. A computing system can then stage the transfer of money based on previously saved profile information for the first user and the second user. The profile information can be used to set a plurality of terms of the money transfer without requiring either of the first user or the second user to reenter this information or otherwise affirmatively set the plurality of terms of the money transfer.

Abstract: A system and method are provided for managing electronic disbursements transferred from a business client of a financial institution to customers of the business client. The system includes a disbursement instruction processor receiving a disbursement instruction over a network from a business client system, the disbursement instruction processor processing the instruction and performing multiple steps. The steps include using a customer identifier to determine available payment channels for the customer and selecting an electronic payment channel when available payment channels include an electronic payment channel. An electronic disbursement notification is forwarded to the customer. A confirmation may be provided upon acceptance of the disbursement through the disbursement notification.