An AI-based system and method for facilitating management of threats for an organization is disclosed. The method includes receiving one or more inputs captured by a plurality of electronic devices of an organization, determining an AI model based on a type of the one or more inputs, and determining if the one or more inputs correspond to a predefined data range. The method includes detecting one or more threats associated with the organization by using the determined AI model and generating one or more real-time alerts corresponding to the detected one or more threats. Furthermore, the method includes generating one or more recommendations for responding to the detected one or more threats and outputting the detected one or more threats, the generated one or more real-time alerts and the generated one or more recommendations on user interface screen of one or more user devices.

Systems and methods for processing intelligence of users captured through quantitative data collection are disclosed. In one embodiment, a method for processing intelligence captured through quantitative data collection may include: (1) receiving, by a data management computer program executed by a computer processor, user interaction data from an agent executed by a user electronic device; (2) determining, by the data management computer program and from the user interaction data, a path in a process being taken by a user of the user electronic device; (3) comparing, by the data management computer program, the path to an approved path; (4) identifying, by the data management computer program, a difference between the path and the approved path; (5) determining, by the data management computer program, an impact of the difference; and (6) outputting, by the data management computer program, the difference and the impact.

Methods, systems, and computer programs are presented for estimating downtime and recovery time after a disaster. One method includes an operation for calculating component fragility functions for components of a facility that are vulnerable to damage after a disaster. Further, the method includes calculating component recovery functions for the components of the facility. The component recovery functions indicate a probability of recovery after a disaster over time. The method further includes operations for calculating a facility fragility function and a facility recovery function based on the component fragility functions and the component recovery functions, and for determining a downtime for the facility for a given intensity associated with the disaster. Further, the method includes an operation for causing presentation of the downtime for the facility on a user interface (UI).

Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

A system for operation and integrity management of a pipeline stores field data obtained from an operational system, and in-line data obtained from an in-line inspection vehicle and external data from a video camera on an external companion device. The system performs data processing on the in-line data and field data to generate input for risk modeling and performs risk modeling of the pipeline using the input to predict a risk of one of a plurality of failure mode states at a portion of the pipeline. The system may initiate risk monitoring for the portion of the pipeline by the operational system and the in-line inspection vehicle.

Systems and methods are provided for evaluating workplace risk by associating sensors with individual members of a workforce to measure conditions affecting the individual. Data is obtained from the sensors for reoccurring work periods for each individual so that a risk analysis may be performed to derive a risk score. Probability of injury is calculated aggregating risk scores for multiple reoccurring work periods. The calculated probability of injury is used to quantify workplace risk for the at least one individual and an enterprise risk assessment is provided by combining the quantified risks for each individual.

In a computer-implemented method of assessing driving performance using route scoring, driving data indicative of operation of a vehicle while the vehicle was driven on a driving route may be received. Road infrastructure data indicative of one or more features of the driving route may also be received. A route score for the driving route may be calculated using the road infrastructure data, and a driving performance score for a driver of the vehicle may be calculated using the driving data and the route score for the driving route. Data may be sent to a client device via a network to cause the client device to display the driving performance score and/or a ranking based on the driving performance score, and/or the driving performance score may be used to determine a risk rating for the driver of the vehicle.

A method and a system determine a change of state of an autonomous device, such as an autonomous vehicle. A plurality of performance parameter values obtained by monitoring at least one performance parameter during the autonomous operation of the device is received. A performance quantity quantifying the quality of autonomous operation of the device, in particular the quality of driving of the autonomous vehicle, is determined based on the obtained performance parameter values and information associated with a flux of software and/or hardware related to the autonomous operation of the device. Further, a change of state value for the device is determined based on the performance quantity.

Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors. Based on the location of the vehicle, one or more real time factors and real time data associated with the one or more real time factors may be calculated. The map data processing system may calculate, using the one or more historical factors and the one or more real time factors, a navigation score for each segment of a route from the location to a destination location. The map data processing system may determine one or more colors for each navigation score and/or generate a display of a navigation map comprising the one or more colors.

Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors. Based on the location of the vehicle, one or more real time factors and real time data associated with the one or more real time factors may be calculated. The map data processing system may calculate, using the one or more historical factors and the one or more real time factors, a navigation score for each segment of a route from the location to a destination location. The map data processing system may determine one or more colors for each navigation score and/or generate a display of a navigation map comprising the one or more colors.