Abstract: A system for providing a dynamically morphing, self-sufficient risk protection structure, the system including: risk exposure components that are connected to a first insurance system of the system and that transfer risk exposure associated with an occurrence of defined risk events from the risk exposure components to the first insurance system based on equitable, mutually aligned first risk transfer parameters and correlated aligned first payment transfer parameters, and the first insurance system that is connected to a second insurance system of the system and that transfers risk exposure associated with the occurrence of the defined risk events from the first insurance system to the second insurance system based on equitable, mutually aligned second risk transfer parameters and correlated aligned second payment transfer parameters.

Abstract: Aspects of the disclosure include a first risk-transfer system, a second risk-transfer system, and an expert-system based circuit. The first risk-transfer system is configured to provide a first risk-transfer based on first risk-transfer parameters from a plurality of motor vehicles to the first risk-transfer system, and receive and store first payment parameters associated with risk exposures of the plurality of motor vehicles. The second risk-transfer system is configured to provide a second risk-transfer based on second risk-transfer parameters from the first risk-transfer system to the second risk-transfer system, and receive and store second payment parameters associated with risk exposures transferred to the first risk-transfer systems.

Abstract: Proposed are a system (1) and a method for the determination and forecast of absolute and relative risks for car accidents based on exclusively non-insurance related measuring data and based on automated traffic pattern recognition, wherein data records of accident events are generated and location-dependent probability values for specific accident conditions associated with the risk of car accident are determined. Thus, the proposed system (1) provides a grid-based (2121, 2122, 2123, 2124), technically new way of automation of risk-prediction related to motor accidents using environment based factors (elevation, road network, traffic data, weather conditions) including socio-economic factors that are impacting motor traffic and are location dependent received from appropriate measuring devices and systems (41, . . . , 45). In this way, predictions of the accident risk for arbitrary areas can be provided.

Abstract: Systems and methods are disclosed for transacting business between a solicitor and a business. The system includes a server used by a business. The server is accessible by a solicitor. An evaluator is housed on the server. The evaluator receives input data by the solicitor and determines at a first stage whether the input data is complete to receive further evaluation, and at a second stage whether the input data as a whole falls within one or more specific pathways of further data evaluation.

Abstract: Proposed are a measuring apparatus (1) and a measuring method for automated traffic and driving pattern recognition and location-dependent measurement and forecast of absolute and relative risks for car accidents based on exclusively non-insurance related measuring data and based on automated traffic pattern recognition and associated with the traffic and driving pattern providing a high degree of temporal and spatial resolution. The proposed apparatus (1) provides a grid-based (2121, 2122, 2123, 2124), technically new way of automation of automated traffic and driving pattern recognition and risk-prediction related to motor accidents using environment based factors (elevation, road network, traffic data, weather conditions including socio-economic factors) that are impacting motor traffic and are location dependent received from appropriate measuring devices (41, . . . , 45). In this way, predictions of the accident risk for arbitrary areas can be provided.

Abstract: Proposed is a OEM-linked, telematics-based system and platform (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. The telematics-based system (1) comprises vehicle embedded telematics devices (OEM line fitted) (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the vehicle embedded telematics devices (OEM line fitted) (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, . . .

Abstract: Proposed are a system and a method for the automated measurement, accumulation and monitoring of diverging cyber risks, wherein risk components are exposed by electronic means of the risk components to a plurality of cyber risks. An accumulation device is used for the segmentation of the total cyber risk of a risk component by means of parametrizable risk exposure segments, and wherein, in a searchable trigger table, retrievably stored segmentation parameters are associated with corresponding measuring parameters for capturing the risk exposure of a specific risk exposure segment. The system comprises a trigger module that is connected to the risk components by means of capturing devices in order to dynamically defect and capture measuring values for the measuring parameters related to the occurrence of cyber risk events within the data pathway of said electronic means.

Abstract: Proposed are a parametric, event-driven critical illness insurance system based on a resource-pooling system (1) and method for risk sharing of critical illness risks of a variable number of risk exposure components (21, 22, 23) by providing a dynamic self-sufficient risk protection for the risk exposure components (21, 22, 23) by means of the resource-pooling system (1). The resource-pooling system (1) comprises an assembly module (5) to process risk-related component data (211,221,231) and to provide the likelihood (212, 222, 232) of said risk exposure for one or a plurality of the pooled risk exposure components (21, 22, 23, . . . ) based on the risk-related component data (211, 221, 231).

Abstract: An automated, real-time mortality classification and signaling system for real-time risk assessment, and adjustment based on an automated selective multi-level triage process, where risks associated with a plurality of risk-exposed individuals are at least partially transferable from a risk-exposed individual to a first insurance system and from the first insurance system to an associated second insurance system, the real-time mortality classification and signaling system accesses a database stored in a memory to retrieve risk classes, identifies and selects a specific risk class associated with the risk of the exposed individual, processes specific parameters of the exposed individual using a machine learning-based pattern recognition to automatically assign risk-exposed individuals with detected non-smoking patterns to a second triage channel, and automatically assigning risk-exposed individuals with detected smoking patterns to a third triage channel as predicted smokers.

Abstract: Proposed is a system and a method for a parametric risk transfer system based on automated location-dependent probabilistic tropical storm risk and storm impact forecast, wherein weather measuring parameters of weather events are measured by means of a plurality of delocalized distributed weather flow stations and transmitted to a central system, and wherein the measured weather measuring parameters at least comprise measuring parameters of wind speed and/or maximum wind speed within a predefined time frame. A spatial high-resolution grid comprising grid cells is generated over a geographical area of interest, and a wind field profile is dynamically generated, wherein by triggering an indexed wind field parameter of the wind field profile exceeding a predefined trigger, an output activation signal is generated based on the wind field parameter and transmitted to an associated activation device, wherein the operation of the activation device is steered by the transmitted output activation signal.

Abstract: An electronic, real-time system performs maneuver recognition of vehicles based on dynamically measured telematics data, particularly the sensory data of smartphone sensors, and more particularly data from the accelerometer sensor and the global positioning system (GPS) sensor and/or the gyroscope sensor of a smartphone. The axes of the smartphone may be moving independently relative to the axes of the vehicle and thus do not need to be aligned with the axes of the vehicle. Driver behaviors and operational parameters are automatically measured and discriminated, based on automatically individuated and measured driver maneuvers within various measured to vehicle trajectories, and an output signal is generated based upon derived risk measure parameters and/or crash attitude measure parameters.

Abstract: There is provided an automated, reactive flight delay risk-transfer system and method related to airspace risks for risk sharing of a variable number of risk-exposed units by pooling resources of the units and by providing a self-sufficient risk-transfer system based on the pooled resources by a resource-pooling system associated with the risk-transfer system, where an automated transfer of risk exposure associated with the units is provided by an automated flight delay insurance system including a capturing means to receive transmitted air data parameters of aircraft ground-based flight controllers. A trigger module dynamically triggers filtered flight time parameters via a data flow pathway of the controllers by means of a predefined time-delay threshold value, where in case of triggering of an excess of the value, operational parameters of the triggered flight including delay parameters and identification are captured and losses associated with the delay are covered by a parametric payment transfer.

Abstract: A controller and method for state-transition-based processing of objects following a state-structured process flow with plural process states. For each process state, one or more tasks are selected to process a transition of a selected object from one process state to a subsequent process state. State parameters of the object are captured. The current process state of the object is determined based on the captured state parameters. The tasks are generated for a specific process state in dependence on assigned task parameters of a process task. Operating tags are expendably assigned to a process task by an assigner unit or assignee unit, the operating tags including dynamically alterable operating parameters adding operational constraints to processing the process task. The state-structured process flow is dynamically generated and processed by triggering defined threshold and/or trigger values and/or steering the processing of the process tasks based on the operating parameters of the operating-tags.

Abstract: A method for processing a life insurance facultative case summary submission over a network between a ceding company and a reinsurer. Initially, a facultative case summary submission is received by the reinsurer from the ceding company via the network. Thereafter, a facultative decision is rendered by the reinsurer based on the received facultative case summary submission. Because the information is summarized and sent electronically or via voice message, less information is processed in a faster period of time thereby rendering quicker decisions than when the complete case history is submitted to the reinsurer for review.

Abstract: A telematics system and method thereof with mobile telematics devices associated with a plurality of motor vehicles. The telematics devices include one or more wireless connections or wired connections, and a plurality of interfaces to connect with at least one of a data transmission bus of a motor vehicle, and/or a plurality of interfaces to connect with sensors and/or measuring devices and/or speakers and/or microphones. To provide a wireless connection, at least one of the mobile telematics devices acts as a wireless node within a corresponding data transmission network by way of antenna connections of the mobile telematics device. At least one of the mobile telematics devices is connected to an on-board diagnostic system (OBD) and/or an in-car interactive device and/or a monitoring cellular mobile node application, and wherein at least one of the mobile telematics devices capture usage-based and/or user-based telematics data of a motor vehicle and/or user.

Abstract: Proposed is an adaptive, layered, automated risk-transfer system and method thereof, with a self-optimizing, increased leveraged capacity and enhanced drop-down cover structure with a plurality of adjustable risk-transfer layers. If a triggered risk-event is assignable to either of the top risk-transfer layer or the bottom risk-transfer layer of the drop-down cover structure, a shared exhaustion factor is generated based on the assigned risk-transfer layer and based on a cover of the loss associated with the triggered risk event. The shared exhaustion factor is applied mutually to both layers by the system eroding both layers by the same exhaustion factor. The top layer and the bottom layer are reinstatable by a corresponding generated normalized reinstatement parameter values normalized over both layers and based on a thus provided shared limit and the erosion of the top layer and the bottom layer.

Abstract: Proposed is an operationally independent clash loss event triggering risk transfer system and a method for risk sharing for a variable number of risk exposure components through the provision of independent risk protection for the risk exposure components by means of a risk transfer structure implemented by circuitry, which captures risk transfers of the exposure to multiple retentions of the components that may occur when two or more of the associated risk exposure components suffer a loss from the occurrence of the same risk event. The system triggers clash loss events simultaneously impacting various layers an/or segments of the risk transfer structure. Furthermore, an event-driven switching device may be deployed for the complementary switching of two coupled, autonomously operated resource-pooling systems, where the operation of the systems remains stable under particularly large losses triggered by the same measurement of a risk event.

Abstract: A pattern-recognition based method and system that generate a plurality of block elements based on predefined boundary conditions provided by an automated underwriting system, capture and scan a workflow object within a workflow pathway thereby recognizing and identifying block elements of a recognition block-map in the captured workflow object, determine a proximity factor relative to each workflow object of a second database, measure a corresponding proximity factor by matching recognized block elements of the captured workflow object with block elements of a workflow object of the second database, provide the measure for the proximity of the two workflow objects based on the mutually allocatable block elements, and generate and assign a conformity index to the captured workflow object based on the conformity of the recognized block elements with a stored block elements of a first searchable data structure.

Abstract: A fully or semi-automated, integrated learning, labeling and classification system and method have closed, self-sustaining pattern recognition, labeling and classification operation, wherein unclassified data sets are selected and converted to an assembly of graphic and text data forming compound data sets that are to be classified. By means of feature vectors, which can be automatically generated, a machine learning classifier is trained for improving the classification operation of the automated system during training as a measure of the classification performance if the automated labeling and classification system is applied to unlabeled and unclassified data sets, and wherein unclassified data sets are classified automatically by applying the machine learning classifier of the system to the compound data set of the unclassified data sets.

Abstract: An automated, inter-arrival-time-based system and method for automated prediction and exposure-signaling of associated, catastrophic risk-event driven or triggered risk-transfer systems, for low frequency catastrophic or operational risk events and automated risk-transfer. Risk-events are measured and assigned to a historic hazard set comprising event parameters for each assigned risk-event. Risk-exposed units and/or the automated risk-transfer systems are provided with corresponding risk-transfer parameters for automated risk-transfer and/or automated risk-event cover. An event loss set is based on the measured frequencies with associated losses of said risk-events of the hazard set, each of said risk-events creating a set specific loss. Time-stamps, based on an automatically and/or dynamically estimated distribution of corresponding inter-arrival times parameters, capture a waiting time between consecutive events of the period loss set.