Abstract: A method and system, the method including capturing country-specific parameters of a risk-exposed country relating to stored predefined criteria, assigning one or more disaster event types to a disaster history table, capturing and storing mapping parameters for a geographic risk map, assigning each of a plurality of selectable disaster financing types to a definable cost factor capturing the capital cost of the disaster financing type in relation to its application for disaster mitigation, determining expected catastrophe losses by a loss frequency function and the geographic risk map for various scenarios of occurring natural disaster event types, and preparing a forecast of an effect of the disaster financing type to cover the catastrophe losses based on the coverage structure, the assigned cost factors, and the determined expected catastrophe losses

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 vehicle trajectories, and an output signal is generated based upon derived risk measure parameters and/or crash attitude measure parameters.

Abstract: A digital cross-network platform and method for providing controlled data- and process-driven cross-network interaction and program development between heterogeneous units with network-enabled devices on a secured cloud-based network, each unit having a unit or user account in the digital cross-network platform with assigned authentication and authorization credentials for authentication and authorization controlled network access to the digital cross-network platform and the secured cloud-based network, and each unit having an assigned relationship with one or more other units stored in a persistent storage of the digital networking platform, each assigned relationship providing a defined relationship between the one or more other units or a subgroup of the one or more other units and an associated program.

Abstract: A system and method for real-time risk-assessment and adjustment, risks associated with a plurality of risk exposed individuals being at least partially transferable from a risk exposed individual to a first insurance system and/or from the first insurance system to an associated second insurance system. The system including a table with retrievable stored risk classes each comprising assigned risk class criteria, individual-specific parameters of the risk exposed individuals being captured relating to criteria of the stored risk classes by the system and stored in a memory, and a specific risk class associated with the risk of the exposed individual being identified out and selected of the stored risk classes by the system based on the captured parameters.

Abstract: A digital device is provided for automated risk-transfer underwriting in fragmented, unstructured data environment. The digital device includes a plurality of sensors, a storage configured to store transfer portfolio data, and circuitry configured to measure characteristics parameters of a plurality of objects, assign the measured characteristics parameters to a profile associated with the plurality of objects, classify the plurality of objects into a plurality of classes based on the measured characteristics parameters, generate a transfer cover value based on (i) the measured characteristics parameters and (ii) a relationship between a risk source, a risk exposure measure, and a risk exposed object of the transfer portfolio data, assign the generated transfer cover value to the corresponding section of the profile for the risk exposed object, and generate a risk score value to the corresponding section of the profile based on the assigned transfer cover value.

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: A simulation device is provided for automated prediction of impact measures based on occurrences of physical events. The simulation device includes a plurality of sensors and circuitry configured to detect the occurrences of the physical events based on predefined event parameters, measure impacts of the physical events on a physical object based on impact parameters, dynamically capture characteristics of the physical object and generate characteristics parameters based on the captured characteristics, identify a plurality of records associated with predefined events impacting the physical object and transfer the records to a portfolio, generate a rate value based on the predefined event parameters and the characteristics parameters, and estimate a cost for transferring a record, and dynamically provide forward- and backward-looking impact measures based on at least one of (i) a variation of the rate value and (ii) the portfolio including the plurality of records.

Abstract: A digital device is provided with circuitry configured to select object elements stored in a storage of the digital device, and assemble the selected object elements, a plurality of sensors configured to measure at least one parameter of structural parameter, operational parameter, and environmental status parameter, the at least one parameter being associated with a physical object represented by the assembled object elements, wherein the assembled object elements include data structure representing states of subsystems of the physical object, and the data structure holds a value of the at least one parameter.

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.

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: 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.