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.

Abstract: An event generator generates risk events for clash-quantifying, multi-risk assessment systems with automated assessment of multi-risk exposures induced by the generated risk events, liability catastrophes and casualty accumulations. A plurality of affected units are subject to an risk exposure of occurring risk events caused by one or more liability risk exposed units. The event generator selects relevant LLC/ULC/ELC scenarios from scenarios of a data structure. The event generator generates concrete events based on the selected scenarios.

Abstract: A system and method for providing a liability temperature measure based on a time-dependent, composite indexing parameter. Measurement parameters assigned to parameterized liability risk drivers are measured for generating the measured time-dependent, composite indexing parameter. The used liability risk drivers are selected based on their impact to the measured variable composite index parameter and dynamically normalized to each other. The normalization is based on a defined transformation applied to the final time series of the parameters providing individual set weights. Based on the weighted liability risk drivers and sets of liability risk drivers, a minimum number of liability risk drivers in relation to maximized statistical significance is selected by applying an index assembly and validation unit.

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 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: A risk parsing device provides risk splitting and loss event diversification for a multi-risk forecast systems capturing multiple loss aggregation under complex environmental conditions based on the occurrence of defined loss events. The loss events are triggered by one or more involved causing units and affected units, wherein the loss events evolve from one or multiple risk accumulating sources. Risk events related loss measures can be scattered over multiple causing units or multiple related clash events. The multi-risk forecast system provides loss-generating processes and events, wherein the inventive risk splitter is a technical core element to generate an event-related loss distribution mirroring cause-effect chains induced by the risk events which extend over space and time. The risk splitter module allows automated splitting of the risk based on risk exposed, causing unit characteristics and risk exposed affected units' characteristics.

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: An electronic logging and track detection system for mobile telematics devices and method are provided. In particular, an electronic logging and track detection system and system for mobile telematics devices, as smart phones and/or mobile cellular phones is proposed, which tend to change their sensing and measuring orientation and direction in respect to the main direction of movement/motion or moving sense, as for example given by a person with proper motion holding a mobile phone within a moving vehicle. Instantaneous movement telematics data are measured by and logged from sensors of the mobile telematics devices and trips and/or trip-segments based on the instantaneous movement sensory telematics data are automatically identified and detected at least by the telematics sensors comprising an accelerometer sensor and a gyroscope sensor and a Global Positioning System sensor.

Abstract: Proposed are a system and a method for a dynamically triggered risk-transfer system based on an automatically steered, floating recoverable basis. The system triggers coupled first and second insurance systems providing self-sufficient risk protection for a variable number of defined risk exposure components. In the case of the occurrence of one of the defined risk events, the occurred loss is automatically covered by the first insurance system.

Abstract: A system based on layered, two-tier double cryptographic keys providing a closed cryptosystem within a secured network environment, the system including a digital key management device and a network node. The digital key management device generates a first-tier cryptographic key, a second-tier cryptographic key and makes the first-tier and second-tier cryptographic keys publicly accessible within a first and a second secured walled regions that are accessible to a network node registered to a first authentication database associated with an access server of the system, encrypts a first and second content with the first-tier and second-tier cryptographic keys, and generates encrypted first and second content. The network node requests access to the first secured walled region, accesses the first-tier and the second-tier cryptographic keys, decrypts the first and second content, generates first and second data containers based on the decrypted content, and transfers the data containers to a client device.

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: 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: The invention relates to an automated risk monitoring method and a corresponding risk monitoring system for automated risk monitoring, in the case of which control data for different companies are transferred to a monitoring unit and evaluated, a company specific asset distribution and a corresponding threshold value being determined, said threshold value corresponding to the expected value of the asset parameter for the occurrence of the insolvency of a company, recovery rate factors being determined by means of a standardization module of the monitoring unit, and wherein, using a MonteCarlo module of the monitoring unit (20), MonteCarlo asset parameters are generated for each company by means of which the companies with the lowest expected recovery rate factors are determined and dynamic adjustment of the portfolio accordingly made by means of the monitoring unit.

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 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: 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: 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.