Abstract: There is provided a system and the like capable of reducing effects of how much knowledge/experience a user has and making it easy for the user to decide a work plan by a crane. A user who sees a primary work situation image output to a terminal output interface can grasp a space occupation aspect of a building and an arrangement aspect of a plurality of candidate carriage points determined based on first factors specified through a terminal input interface. A user who sees a secondary work situation image output to the terminal output interface of an information terminal can grasp an arrangement aspect of first carriage points to which it is possible to carry a material by a crane for which an arrangement aspect and specifications thereof are specified based on second factors specified through the terminal input interface, while avoiding interference with the building.

Abstract: The invention relates to computer-implemented systems and methods for implementing an innovative Responsible AI Common Controls framework for AI Governance. The system of an embodiment of the present invention focuses on connectivity, communication, automation, reporting and case management around critical AI Governance controls.

Abstract: Systems and methods for assessing, tracking and improving security maturity of an organization are provided. Described is a system for assessing security maturity of an organization. The system receives a list of data sources located across multiple jurisdictions for the organization, collects data sources/data using custom rules from a plurality of data sources of the list of data sources, determine criticality score for each of the plurality of data sources, calculates data source coverage and asset collection coverage, determines use case coverage, and determines security maturity score using a maturity score model. The maturity score model is a logistic equation which is a function of the data source coverage, the asset collection coverage, the criticality score associated with each of the plurality of data sources, the use case coverage, asset coverage by each the plurality of data sources.

Abstract: An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of one or more products grown in a given field and continuous data indicative of multiple raw field features and specific to the given field. The method also includes transforming the raw field features into distinct feature classes and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between the one or more products. Further, the method includes generating, based at least in part on the genomic-by-environmental relationships, predicted yield performance for a set of products associated with one or more target environments, generating product recommendations for the one or more target environments based on the predicted yield performance for the set of products, and providing one or more instructions configured to cause display of the product recommendations.

Abstract: Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

Abstract: Apparatus and associated methods relate to dynamically managing quality of a sample in a public display space. In an illustrative example, a sample quality profile (SQP) may be generated in response to a sample update signal. The sample update signal may, for example, originate from a physical product display location. The sample update signal may, for example include data from a sensor(s) configured to detect a physical attribute(s) corresponding to the sample. The SQP may, for example, correlate the at least one physical attribute with at least one sample quality metric(s) (SQM). A predetermined minimum quality criterion(s) (MQC) corresponding to the product, sample, and/or showcase may, for example, be retrieved and compared to the SQM. If the SQM does not meet the MQC, then a sample request signal may, for example, be generated. Various embodiments may, for example, advantageously maintain an attractive product sample for display to potential customers.

Abstract: A method for incentivizing contact center agents with scheduling perks that includes: receiving a workload forecast and staffing plan for a current shift; receiving a service level target; receiving types of scheduling perks; performing a selection routine for determining a select scheduling perk for offering to a select agent; and sending a scheduling perk offer via electronic communication to the select agent. The selection routine may include: selecting a proposed scheduling perks and a proposed agent; modifying the staffing plan to create a proposed staffing plan that reflects the proposed scheduling perk; predicting a proposed forecasted target adherence using the modified staffing plan; determining whether the proposed forecasted target adherence satisfies a threshold defined by an acceptable forecasted target adherence and, if so, deeming the proposed scheduling perk as select scheduling perk and proposed agent as select agent.

Abstract: A method and a device for calibrating an SOC at tail end of charging or discharging of an energy storage system are provided. An SOC and a voltage of a battery unit are acquired in real time during charging or discharging of the battery unit. Whether the battery unit meets an SOC calibration condition is determined by comparing the SOC of the battery unit with a pre-calibrated calibration SOC at the tail end of charging/discharge and comparing the voltage of the battery unit with a calibration voltage, so that the SOC of the battery unit is timely calibrated if the SOC calibration condition is met.

Abstract: An online concierge system allows users to order items from a warehouse, which may have multiple warehouse locations. The online concierge system provides a user interface to users for ordering the items, with the user interface providing an indication of whether an item is predicted to be available at the warehouse at different times. To predict availability of an item model at different times, the online concierge system selects data from historical information about availability of items at one or more warehouses based on temporal, geospatial, and socioeconomic information about observations of historical availability of items at warehouses. The online concierge system accounts for distances between observations and a time and geographic location in a feature space to select observations for predicting item availability at the time and the geographic location.

Abstract: Examples provide a system, method, and computer storage device for automatically presenting a loyalty index for a user. A loyalty index is calculated using transaction details for a plurality of users for a time period. The calculation involves calculating a total entity transaction amount, a total user transaction amount, and an entity proportion for each entity per user. The exclusivity loyalty factor proportion is an average value of the entity proportion for each entity in the favorite entities list weighted by the total entity transaction amount of each user with that entity. The examples present each entity and corresponding exclusivity loyalty factor proportion as an index icon in a user interface and automatically move the index icons to a list in the user interface in descending order of exclusivity loyalty factor proportion.

Abstract: Systems and methods to protect shared Privileged Remote Access (PRA) sessions based on user risk include receiving, at a Privileged Remote Access (PRA) system, one or more invitations from a host, the one or more invitations being for one or more users to join a PRA session; responsive to receiving the one or more invitations, determining a risk score of each of the one or more users associated with the one or more invitations; and rejecting or allowing each of the one or more invitations based on the risk score of each of the one or more users.

Abstract: An information processing apparatus comprising processing circuitry, the processing circuitry constructs a prediction model for predicting time-series data related to a state of a device/equipment, calculates a prediction error that is a difference between a predicted value of the time-series data predicted by the prediction model and an actual value of the time-series data, divides the prediction error into a plurality of first sections in a time axis direction, calculates a state change amount of the actual value based on the prediction error divided into the plurality of first sections; and constructs a state determination model for determining the state of the device/equipment based on the state change amount.

Abstract: Aspects of systems, method, and computer-readable storage media are provided that determine a vehicle configuration based on operator use case-specific performance impacts. A fleet analytics system is deployed as a lightweight, easy-to-use cloud-based service to a non-technical audience.

Abstract: A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform.

Abstract: Disclosed herein is a machine learning based system and method for root cause identification and corrective action recommendation to address various workplace incidents. An example system may include a computing device configured to formulate a root cause superset to represent a plurality of root causes, identify fields included in a received incident record in connection with a set of predetermined field descriptors to generate a textual description of the incident record, store data relating to the root cause superset and the textual description of the incident record as a trained model, instruct LLM(s) to determine at least one root cause and corrective action based least upon the textual description of the incident record and the root cause superset, and generate data for a display device to indicate the at least one root cause and corrective action.

Abstract: A vehicle power supply system including a battery that supplies electric power to an in-vehicle load, comprising: an acquisition unit that acquires information on discharging of a battery; a derivation unit that derives a current life discharge amount of the battery based on information on discharging of the battery acquired by the acquisition unit and a correlation between a discharge depth of the battery and a life discharge amount; and an calculation unit that calculates data related to determination of a softening deterioration state of the battery based on the current life discharge amount of the battery derived by the derivation unit and information on discharging of the battery acquired by the acquisition unit.

Abstract: The technology described herein is directed towards automatically scaling cloud provider resources allocated for one enterprise's service based on the resources being used or expected to be used by another enterprise's service, in which there is a value chain-based load-dependency relationship between the two enterprises' services. In one example implementation, a first prediction engine determines a predicted workload for a first enterprise service, and sends that information to a load manager that allocates resources for the first enterprise service based on the prediction. Based on the load-dependency relationship, the first prediction engine sends the predicted workload to a second prediction engine, which predicts a second predicted workload for a second enterprise's service, and sends the second prediction information to a load manager that allocates resources for the second enterprise service based on the second prediction.

Abstract: Various embodiments include methods and systems for automatically evaluating organizational structures and/or business process documentation for compliance with relevant standards, requirements, and policies.

Abstract: The present disclosure describes conversation-based messaging techniques. The techniques comprise generating a thread identifier (ID) corresponding to a new conversation based on receiving a user input indicative of starting the new conversation, wherein the user input is received from a user via a predetermined interface element on a user interface; displaying a window overlaid on the user interface in response to receiving the user input via the predetermined interface element, wherein the window comprises a plurality of representative elements corresponding to a plurality of types of conversation attribute; and creating one or more attributes of the new conversation based at least in part on selecting one or more representative elements among the plurality of representative elements, wherein the creating one or more attributes of the new conversation further comprises associating the one or more attributes with the thread ID of the first conversation.

Abstract: A method, computer system, and a computer program product for integrating uncertainty quantifications into a long-term risk based calendar is provided. The present invention may include receiving data for an organization. The present invention may include generating a long-term risk based calendar using the data received for the organization. The present invention may include presenting the long-term risk based calendar to a plurality of user associated with the organization. The present invention may include providing one or more recommendations to at least one of the plurality of users.