Abstract: Provided is an apparatus, computer implemented method, and computer program product configured to programmatically validate, aggregate, and manage calendar event data in a group-based communication interface of a group-based communication system.

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: Embodiments can provide a method for identifying a behavioral pattern from simulated transaction data, the method including: simulating transaction data using a reinforcement learning model; and identifying a behavioral pattern from the simulated transaction data. The step of simulating transaction data further includes: providing standard customer transaction data representing a group of customers having similar transaction characteristics as a goal; and performing a plurality of iterations to simulate the standard customer transaction data, wherein the plurality of iterations is performed until a degree of similarity of simulated customer transaction data relative to the standard customer transaction data is higher than a first predefined threshold.

Abstract: Systems, methods, and devices may enable management of a renewable power asset. A control device may generate a Day-Ahead (DA) pricing model, a Real-Time (RT) pricing model and a renewable generation model for the renewable power asset. Optimal DA commitments may be determined, and an optimal RT schedule estimated. A DA power delivery strategy and an RT power delivery strategy may be determined. The determined DA and RT power delivery strategies may be evaluated based on obtained real power prices. The DA and RT power delivery strategies may be redetermined, and the renewable power asset may be controlled to deliver power the DA and RT power delivery strategies. The value of the renewable power asset may be maximized while bounding financial risks and returns associated with scheduling the renewable power asset as tailored to risk preferences of the renewable power asset owner or operator.

Abstract: The present invention provides an intelligent recruitment management system, method and computer program product for performing an automated recruitment process. The system comprises at least one processor (11) configured to execute modules of a recruitment intelligence platform (10), including a true requisition module (12) that parses data from intake forms and outputs a standardized result, analysing historical data of previous requisitions, a resume intelligence module (13) that mines resume and display a formatted output highlighting skills and best fit, cautioning frauds and plagiarism, a submission intelligence module (14) that enables candidates to submit relevant information via a unique link, generated by the true requisition module and a profile sourcing module (15) that invokes an RPA pipeline where a classification model automatically determines job matches and prompts the recruiters to select relevant candidates.

Abstract: Provided are techniques for alert generation based on a cognitive state and a physical state. Wearables data, text communications, voice communications, and images of a caregiver providing care to a patient are obtained. The wearables data, the text communications, the voice communications, and the images are analyzed to identify a cognitive state and a physical state of the caregiver. The cognitive state and the physical state are compared to one or more care rules associated with tasks of the caregiver for the patient. In response to the comparison indicating any one of the cognitive state and the physical state prevent the caregiver from executing the tasks, an alert is generated. One or more recommendations for resolving the alert based on one or more recommendation rules are generated.

Abstract: Techniques for assigning various operations to itineraries that can be assigned to personnel. A plurality of tags relating to past instances of a plurality of various operations are retrieved from an electronic data source. Each tag includes a first symbol representing a magnitude of time variance for a respective operation of the various operations and a second symbol representing a likelihood of time variance for the respective operation. The plurality of tags are parsed, and a plurality of predicted time variances are determined. A first predicted time variance is selected for a first operation based on a reliability factor. A combination of operations is identified, and a likelihood that the combination of operations does not exceed at least one personal limit of personnel is determined. An itinerary that includes the identified combination of operations is generated. Personnel are automatically tasked to perform the operations of the generated itinerary.

Abstract: A quality assurance (QA) system for automatically performing a quality assurance check on digital communication is configured to: receive a digital communication from an executing application on an external computing device; retrieve a predetermined set of rules applicable to the digital communication; and perform a QA check on the digital communication by determining whether the digital communication complies with each rule in the predetermined set of rules. The set of predetermined rules includes non-visual (e.g., textual and user-selected form fields) rules and vision-based rules. The non-visual rules include a rule requiring the inclusion of specific text or a rule requiring the exclusion of specific text. The visual-based rules include a rule identifying a specific graphical item to be included in or excluded from the digital communication. The QA system is further configured to generate a GUI that provides a visual indication of each rule not met.

Abstract: Method, apparatus and computer program product for generating a channel calendar in a group-based communication system are described herein. The apparatus is configured to at least generate a channel calendar identifier associated with a group-based communication channel in the group-based communication system, receive a calendar sharing request associated with the channel calendar identifier from a client device, retrieve the calendar object and calendar object metadata set based on the channel calendar identifier, and cause rendering of the calendar object for display via a user interface of the client device.

Abstract: Provided is an evaluation device which stores base information, base destination information, demand information, a route service tariff, and a route delivery tariff in a memory device.

Abstract: Aspects of the present disclosure relate to implementation of a dynamical structural percolation model, that may be implemented via at least one computing device, and models the loss distribution for cyber risk due to breach of IT networks of a single small or medium-sized enterprise, which is believed to be a technical improvement responsive to the foregoing issues and challenges with known risk/loss distribution models.

Abstract: Systems and methods for engagement mapping based on counterfactual experiments are provided. In example embodiments, a network system receives parameters for one or more counterfactual experiments or tests. Based on the parameters, the network system selects one or more users of a social network platform to subject to the test(s) and selects edges of a social network of each of the one or more users to block. The network system then filters out notifications and feed items from the selected edges of the one or more users. Behavior data of the one or more users based on the filtering out of the notifications and feed items is aggregated, whereby the behavior data indicates engagement of the one or more users on the social networking platform based on the filtering of the notifications and feed items. Recommendations are derived based on the aggregated behavior data and presented to the users.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time. Such measures may be altered or projected using scenarios describing future emissions data.

Abstract: Methods, computer program products, and systems are presented for service cost prediction using machine learning. A claims risk model is formed for predicting a per member per month cost based on variables trained in early prediction models and variables of claim record data from data sources. A training dataset for the claims risk model is modified based on a preconfigured cap value and two distinctive datasets are generated, which trains the claims risk model into a capped submodel and an outlier submodel, respectively. Each submodel makes prediction of the per member per month cost and a slice model interpolates a cost predicted by the capped submodel and another predicted by the outlier submodel. The splice model redistributes the outcomes of the capped submodel and the outlier submodel.

Abstract: Disclosed are methods and systems for intelligent distribution of products. In one aspect, a system comprises a memory storing instructions and at least one processor configured to execute the instructions. The processor performs operations include receiving forecasting data comprising an expected demand of a stock keeping unit and determining a target inventory of the SKU to satisfy the expected demand. The operations further include determining a regional target inventory of the SKU of a region comprising a plurality of fulfillment centers. The operations further comprise receiving historical data comprising the inbound and outbound shipment history of a fulfillment center in the plurality of fulfillment centers and generating a profile for the fulfillment center. The operations further comprise assigning a portion of the regional target inventory to the fulfillment center and transmitting instructions to a device to stock a number of SKUs in the fulfillment center based on the portion.

Abstract: According to an example, product test orchestration may include accessing user-defined information of a product to be tested and identifying, based upon the accessed user-defined information, a set of devices on which the product is to be tested and a set of testing tools to be implemented on the identified set of devices to test the product. Product test orchestration may further include generating test operations for the identified set of testing tools to be implemented on the identified set of devices, executing the generated test operations on the identified set of devices, tracking results of the executed test operations, and generating a report of the tracked results.

Abstract: A system and method may determine the carbon emissions risk to an institution through its lending and investment activities to a plurality of counterparties by, for example, determining carbon emissions data for a number of counterparties and, for each counterparty, determining the carbon emissions risk to the institution. A system and method may determine the proportion of total capital of a counterparty that is being financed by a bank, and multiply this by a carbon emissions measure for the counterparty. Embodiments may be applied to determine optimal investment strategies for managing an institution's exposures to carbon risk over time.

Abstract: Technologies are described for performing automated option planning. For example, option planning can comprise displaying a plurality of product segments, displaying historical performance for the plurality of product segments (e.g., indicating how many options were offered previously), receiving a change threshold value, automatically calculating an option count range for each product segment based at least in part on the change threshold value and the historical performance, automatically determining a proposed option count for each product segment (e.g., limited to its corresponding option count range), and displaying the proposed option count for each of the plurality of product segments. Sales targets can also be calculated and displayed based on the proposed option counts. Option planning can be performed within a graphical user interface.

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: Described herein is a system and method for predicting the extent and cost of repair resulting from a vehicle accident. The estimates can be based on one or more of in-vehicle sensor measurements during the accident, external observations such as weather and traffic and road conditions and manually or digitally input accident reports. The gathered information is compared to information in a database from historical accidents and the resulting damage and costs for those. The information is classified according to impact force, direction and location along with the specific type of vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.