A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.

A system includes a memory, a survey engine, and a reporting engine. The memory stores identifying information of a plurality of users. The survey engine determines a question to present to each user of the plurality of users and determines an interval for each user of the plurality of users. The determined interval for a first user of the plurality of users is different from the determined interval for a second user of the plurality of users. For each user, the survey engine communicates to that user, based on the stored identifying information, the determined question for that user according to the determined interval for that user and receives a response from each user of the plurality of users. The reporting engine generates a report based on the received response from the plurality of users.

A system includes a memory, a survey engine, and a reporting engine. The memory stores identifying information of a plurality of users. The survey engine determines a question to present to each user of the plurality of users and determines an interval for each user of the plurality of users. The determined interval for a first user of the plurality of users is different from the determined interval for a second user of the plurality of users. For each user, the survey engine communicates to that user, based on the stored identifying information, the determined question for that user according to the determined interval for that user and receives a response from each user of the plurality of users. The reporting engine generates a report based on the received response from the plurality of users.

A method and system for capturing research decision flow in a Research and Development (R&D) activity are provided. The method includes defining an objective of the R&D activity and determining one or more requirements for fulfilling the objective of the R&D activity. Further, the method includes identifying a set of risks associated with failure to satisfy the one or more requirements. Furthermore, the method also includes defining a set of tests to verify that the requirements are satisfied or the risks have been mitigated. Furthermore, the method also includes developing a task plan to satisfy the one or more requirements and mitigate one or more risks of the set of risks. Furthermore, the method also includes linking the objective, the one or more requirements, the set of risks and the task plan, to generate a linked information record.

A method and system for capturing research decision flow in a Research and Development (R&D) activity are provided. The method includes defining an objective of the R&D activity and determining one or more requirements for fulfilling the objective of the R&D activity. Further, the method includes identifying a set of risks associated with failure to satisfy the one or more requirements. Furthermore, the method also includes defining a set of tests to verify that the requirements are satisfied or the risks have been mitigated. Furthermore, the method also includes developing a task plan to satisfy the one or more requirements and mitigate one or more risks of the set of risks. Furthermore, the method also includes linking the objective, the one or more requirements, the set of risks and the task plan, to generate a linked information record.

Proposed is an automated telematics-based system (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof, for automated risk-transfer related to complex peer-to-peer lending schemes, especially related to vehicles and car sharing schemes and sharing economy transportation schemes related to risks associated with damages to third parties. The telematics-based system (1) comprises telematics devices (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the telematics devices (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system-based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . . , 435) and/or an in-car interactive device (441, . . . , 445), wherein the telematics devices (411, . . . , 415) capture usage-based (31) and/or user-based (32) and/or operational (33) telematics data (3) of the motor vehicle (41, . . . , 45) and/or user (321, 322, 323). In response to an emitted shadow request (109) individualized risk-transfer profiles (114) based upon the dynamically generated variable scoring parameters (1011, . . . , 1013) are transmitted from a first risk-transfer systems (11) to the corresponding motor vehicle (41, . . . , 45) and issued by means of a user unit (461, . . . , 465) of the motor vehicle (41, . . . , 45) for selection by the driver of the motor vehicles (41, . . . , 45). In return of issuing an individualized risk-transfer profile (114) over said user unit (461, . . . , 465), payment-transfer parameters are transmitted from the first risk-transfer system (11) to the provider of the telematics-based system (1).

Proposed is an automated telematics-based system (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof, for automated risk-transfer related to complex peer-to-peer lending schemes, especially related to vehicles and car sharing schemes and sharing economy transportation schemes related to risks associated with damages to third parties. The telematics-based system (1) comprises telematics devices (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the telematics devices (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system-based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . . , 435) and/or an in-car interactive device (441, . . . , 445), wherein the telematics devices (411, . . . , 415) capture usage-based (31) and/or user-based (32) and/or operational (33) telematics data (3) of the motor vehicle (41, . . . , 45) and/or user (321, 322, 323). In response to an emitted shadow request (109) individualized risk-transfer profiles (114) based upon the dynamically generated variable scoring parameters (1011, . . . , 1013) are transmitted from a first risk-transfer systems (11) to the corresponding motor vehicle (41, . . . , 45) and issued by means of a user unit (461, . . . , 465) of the motor vehicle (41, . . . , 45) for selection by the driver of the motor vehicles (41, . . . , 45). In return of issuing an individualized risk-transfer profile (114) over said user unit (461, . . . , 465), payment-transfer parameters are transmitted from the first risk-transfer system (11) to the provider of the telematics-based system (1).

The method includes a step of determining a degree of compliancy of the device. Based on said degree of compliancy determining a recommended interval for the next calibration of the respective device and determining a ratio of the recommended interval and the calibration time interval currently applied to this device, reviewing the calibration time intervals based on said ratios and a predetermined set of ratio ranges by: for each device performing a procedure predetermined for the ratio range comprising the ratio determined for the respective device and updating the calibration time interval applied to the respective device, and determining the time schedule providing scheduled calibrations times at which the devices shall be calibrated again based on the updated calibration time intervals determined for each of the devices and performing the next calibrations of the devices according to the scheduled calibration times.

An asset management method for a substation in accordance with an example embodiment of the present invention comprises steps of: generating integrity of each element of the substation based on state data and real-time monitoring data of the each element of the substation; classifying grade of the each element of the substation depending on the generated integrity thereof, and matching the each element of the substation with one of life models for each classified grade; specifying a candidate element subject to maintenance in a certain order of priority, assessing system reliability index and economic feasibility, and selecting a maintenance scenario for the each candidate element subject to maintenance; and executing maintenance by using the selected maintenance scenario, and updating assessment of the integrity of the each element of the substation as a result of the maintenance executed.

A system and method for medical audit is provided. Modules each regarding a different patient status are maintained. A chatbot is activated and a status of a patient is received. One of the modules for the patient is selected based on the patient status. Requests for information are provided to the patient based on the selected module and information from the patient is received in response to the requests. The information is checked for compliance with a set of standards selected for the information and the patient is notified that the information does not comply.