Patent classifications
G06Q10/1097
System, method and apparatus for sensor control applications
A system, method and apparatus for configuring a node in a sensor network. A sensor service can enable sensor applications to customize the collection and processing of sensor data from a monitoring location. In one embodiment, sensor applications can customize the operation of nodes in the sensor network via a sensor data control system.
Chatbot system
A chatbot system, a method of operating a chatbot system, a mobile application and a method of operation of a mobile application for providing conversational communications between a user and a primary system via chatbot. The communications utilise a modified message comprising a main component and a supplementary component.
Systems and methods for utilizing machine-assisted vehicle inspection to identify insurance buildup or fraud
A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.
Computer-based systems configured for automated electronic calendar management and work task scheduling and methods of use thereof
In order to facilitate automated electronic calendar task management with automatic task scheduling, systems and methods are described including receiving and electronic meeting request to schedule a meeting. Work task data items identifying work tasks associated with the attendees are determined. A task estimation machine learning model predicts work parameters of meeting task objects based on the work task data items, and a work history data identifying work history of each attendee. A meeting scheduling machine learning model predicts parameters of unavailability period objects representing unavailability periods required to complete the work tasks based on the meeting task object, schedule information and location information. An indication of the at least one unavailability period is displayed on a screen of a computing device associated with each attendee. Selections of the unavailability period is received from the attendees, and the unavailability period is dynamically secured prior to the meeting.
MAP CALENDAR GRAPHICAL USER INTERFACE WITH DYNAMIC TIME MOLD FUNCTIONALITY
A computer-implemented method for implementing a map calendar application and corresponding map calendar GUI that provide time mold functionality is described herein. The method includes executing the map calendar application to provide the map calendar GUI surfaced on a display. The map calendar GUI includes an interactive visualization of a map calendar, which includes a continuous, manipulable sequence of calendar content data corresponding to calendar content items that are organized based on units of time within a coordinate plane. The method also includes categorizing the calendar content items based on time categories corresponding to the calendar content items and identifying time patterns corresponding to the categorized calendar content items. The method further includes generating a time mold of the map calendar based on the identified time patterns and visually overlaying the time mold onto corresponding calendar content items within the interactive visualization.
COMPUTER IMPLEMENTED TIME MANAGEMENT SYSTEM AND METHODS
A time management system may include: a client device having a display screen and an input interface for receiving input from a user; communication logic configured to receive user input, wherein the input comprises activity data and financial data; and management logic configured to generate To-Do tasks and Goals using the activity data and configured to generate financial transactions using the financial data, in which the Goals categories may include: Values, Vitality, Health, Growth, Finance, Career and Relationships. The user may query the communication engine to view, plan, and generate reports for the To-Do tasks and financial transactions on their client device, and the user may provide input to the communication engine for the generation of messages which may be sent to the client devices of one or more other users in which the message(s) may include data describing one or more of a To-Do task, Goal, and financial transaction of the user.
Distributed maintenance system and methods for connected fleet
A system and related methods for management, planning and control of a connected fleet of vehicles. A unique, single integrated platform may be provided for management, planning and control of a connected fleet of vehicles, including fleet planning, in-fleeting operations, vehicle acquisition and provisioning, vehicle assignment, vehicle transfers, vehicle use operations, vehicle servicing, vehicle maintenance and repairs, and de-fleeting operations. Fleet communications can be by cellular, wireless, or low earth orbit satellite communications. Fleet vehicles include a programmable TCU installed in the vehicle and connected, directly or indirectly, to the CAN bus or similar vehicle network, and carries out various operations, including controlling vehicle access. The systems combines self-reporting and self-management of a connected fleet vehicle (with on-board and installed sensors configured to identify actual or potential issues or problems in the vehicle, and report, request, and obtain/dispatch servicing via its cloud or network communications interfaces), and predictive failure algorithms (based on historical and current connected fleet vehicle data), with multiple probabilistic distributions for the distributed fleet to dynamically, in real time, determine and dispatch service with greater efficiency and lower costs for fleet operations.
Microlearning event management in a modular learning system
A system and method are disclosed for modularly scheduling learning events in a modular learning system. Information about application services and microlearning events are stored in the modular learning system, with each microlearning event comprising a plurality of learning applications associated with the application services. The modular learning system receives a request from an organizing user to organize a microlearning event, and in response the modular learning system generates a set of services compatible with the event.
Methods and systems to facilitate organized scheduling of tasks
A system to facilitate organized scheduling of a plurality of tasks comprises a communication device, a processing device, and a storage device. The communication device may be configured for receiving at least one schedule request from at least one first user device. The processing device may be configured for analyzing the at least one schedule request to identify a schedule type. The processing device may be configured for retrieving at least one task preset associated with the plurality of categories of the schedule type. The communication device may be further configured for transmitting the at least one task preset and receiving at least one task preset selection associated with the at least one task preset. The processing device may be further configured for generating at least one schedule reminder based on the at least one task preset selection. A corresponding method is also provided.
SOFTWARE UPDATE IN A MANAGED SERVER SYSTEM
A method for updating software in one or more servers in a managed system includes bootstrapping of shared secrets to secure communication, using an object store with publicly accessible URLs as a mailbox system between a patch agent locally at the managed system and a patch management server located remotely. The object store provides for indirect and asynchronous communication, allowing the patch management server to manage the updates, whereas the patch agent executes the updates. The patch management server keeps track of update results, and when an update is unsuccessful it performs and supports a remediation process. Both the patch agent and the patch management server keep full logs of the update results to allow for auditing.