Abstract: A computer-implemented method, includes identifying, a set of insurance policyholders that have experienced water loss and a second set of insurance policyholders that have not experienced water loss. The method also includes determining an attribute indicative of increased likelihood of future water loss using a predictive model using a percentage of the first set of insurance policyholders defining a first sample size of the first set of insurance policyholders that is smaller relative to a percentage of the second set of insurance policyholders defining the second sample size of the second set of insurance policyholders. Further, the method includes identifying at least one targeted insurance policyholder having an increased likelihood of water loss, based upon the attribute and providing a water loss mitigation strategy to the at least one targeted insurance policyholder.

Abstract: An information technology (IT) network includes configuration items (CIs) that may constantly change, where the CIs describe hardware components or software components that are configured to operate on the IT network. Machine learning techniques can be employed determine whether a CI has been changed (e.g., added, updated, or removed) in the IT network. For example, a software code or a log message associated with a CI can be analyzed to determine whether the CI is a newly added or updated within the IT network.

Abstract: A post-disaster conditions monitoring system. The system may include plurality of aircraft drones configured to take photographic images; a conditions monitoring center having a controller including a device processor and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving images from the plurality of aircraft drones in a geographic region; determining conditions in the geographic region based on the images received from the plurality of aircraft drones; and sending information regarding the determined conditions to one or more users of the system.

Abstract: A system may include one or more sensors configured to acquire data associated with a driver of a vehicle and a processor. The processor may receive the data and determine whether the data is within a baseline data associated with expected behavior of the driver. The processor may then control one or more operations of the vehicle in response to the data being outside the baseline data.

Abstract: A method may include receiving an alert and a recorded data set from a first monitoring system and receiving a first set of permissions from the first monitoring system. The method may also include determining a permission associated with sharing of the recorded data set based at least in part on the first set of permissions. The method may also include determining that sharing of at least a portion of the recorded data from the first monitoring system is permitted based at least in part on the permission and sharing the at least a portion of the recorded data set.

Abstract: A system and method for locating electronic devices and establishing peer to peer communication with electronic devices, such as a currency exchange unit, using a beacon, is disclosed. The method may include determining a location of the currency exchange unit; generating a message indicating a location of the currency exchange unit and the availability of a variety of different currencies; and managing currency exchanges with various mobile devices.

Abstract: A system and a method for diagnosing a problem with a motor vehicle using sound. Ambient noise information for the motor vehicle is determined. Current sound information is received, and whether there is a variation in sound between the current sound information and the ambient noise information is determined. The ambient noise information is subtracted from the current sound information if the variation has been identified, to identify a sound anomaly. A sound anomaly signal is extracted and compared with predetermined anomaly signal information stored in a database. The predetermined anomaly signal information is associated with diagnostic information.

Abstract: A computer device and method for processing data to detect modifications to insured property. Received is specification data regarding modifications to be made to insured property in connection with an insurance claim. Also received is data from one or more sensor devices associated with the insured property indicative of a status regarding modifications made to the insured property. Analysis is performed on the received specification and data to determine whether one or more predefined conditions for the insurance claim is satisfied regarding the modifications to be made to the insured property.

Abstract: Techniques are described for communicating between two organizations without exchanging sensitive private information. One of the methods includes generating a token representative of private data. The method includes identifying at least one entity associated with the private data. The method includes associating the token with at least one entity. The method also includes providing information identifying at least one entity and the token to a machine learning system.

Abstract: A system and method for monitoring driving conditions and reacting to the driving conditions is disclosed. The system includes a risk monitoring system that can detect adverse road conditions. The method includes performing rerouting when hazardous road conditions are detected. The vehicle may be routed along a different route that lacks the hazardous road condition. The method also includes providing feedback to the driver when adverse driver behavior, such as a drowsy driver, is detected.

Abstract: The present disclosure relates to a system, method, and mobile computing device apparatus for detecting the physical presence of a bank customer at a bank branch, and delivering an enhanced customer service experience by anticipating the bank customer's needs. Detection of the bank customer through visual data such as facial recognition, or electronic data such as medium range electronic communication networks to the customer's mobile computing device, allow a bank to retrieve relevant customer profile and customer transaction history data and use that data to deliver communications to the customer even before the customer speaks to a bank teller.

Abstract: An electric outlet fire detection and prevention system may comprise a temperature sensor and an electromagnetic interference (EMI) sensor. A processor within the system may monitor the measurements of the temperature and EMI sensors to determine that a fire has developed in an electric outlet box. The processor may then actuate a triggering mechanism in a cartridge containing fire extinguishing material such that the fire extinguishing material is dispersed in the outlet box. The fire extinguishing material may extinguish a developing fire and prevent the fire from spreading further. The processor may also be coupled with a server, which is configured to analyze measurements of the temperature and the EMI sensors and generate a building profile. When the server determines that any measurements deviate from the building profile, the server may instruct the processor to actuate the triggering mechanism and/or notify an electronic device associated with the building.

Abstract: Methods and systems described herein can provide a computing device configured to display on a display screen of the computing device a first window listing a set of entries and a second window that can add entries directly into the set of entries and that can search for entries having selected features. The second window can dynamically display one or more keywords related to an entry as the entry is being created. The keywords can be determined as the entry is created and can be associated with the entry as the entry is added to the set of entries. The second window can receive a search request with the keywords and in response, cause the entries associated with the keywords to be displayed in the first window.

Abstract: The embodiments provide a system and method for interpreting predictions from machine learning systems using natural language. The system includes a prediction module and an explanation module. The prediction module includes a machine learning model to make predictions for quantities such as recommended coverage amounts for insurance policies. The explanation module includes an impact analyzer that calculates impact values, which represent the degree of influence that each attribute has on predicted values. The explanation module also includes a natural language processing system for transforming generating natural language explanations indicating how the user attributes have influenced the predicted value.

Abstract: Techniques are described for performing estimations based on image analysis. In some implementations, one or more images may be received of at least portion(s) of a physical object, such as a vehicle. The image(s) may show damage that has occurred to the portion(s) of the physical object, such as damage caused by an accident. The image(s) may be transmitted to an estimation engine that performs pre-processing operation(s) on the image(s), such as operation(s) to excerpt one or more portion(s) of the image(s) for subsequent analysis. The image(s), and/or the pre-processed image(s), may be provided to an image analysis service, which may analyze the image(s) and return component state information that describes a state (e.g., damage extent) of the portion(s) of the physical object shown in the image(s). Based on the component state information, the estimation engine may determine a cost estimate to repair and/or replace damaged component(s).

Abstract: Methods and systems for facilitating a program with participating merchants and consumers are described. In some embodiments, a method includes receiving a wish list of a user. The wish list may include items or services sold by merchants participating in the program. The wish list may be published to the merchants participating in the program. A location of the user may be determined, and an offer from one of the participating merchants may be received, where the offer is based on the location of the user. A total cost of the offer may be calculated by analyzing the offer. The user may be notified of the offer and the total cost.

Abstract: A service tracking and guidance system includes processing circuitry configured to receive, from a location tracking device and/or an online service, usage data indicative of usage of a service by a consumer. The processing circuitry is also configured to determine a usage value based on the usage data, to receive remittance data indicative of recurring payments made by the consumer for the service, and to retrieve a usage threshold that represents a level of usage of the service that justifies the recurring payments. The processing circuitry is further configured to compare the usage value determined based on the usage data for a time period that corresponds to at least one of the recurring payments to the usage threshold and to provide an output with directions to increase the usage value or to facilitate cancellation of the service in response to the usage value being below the usage threshold.

Abstract: A system and method for helping a user carrying a smart device to maintain safe distances from other persons during an epidemic or a pandemic. A portable smart device measures the approximate distance to persons in the vicinity of the user, and notifies the user whenever he or she is too close to other persons. The portable smart device may overlay augmented reality graphics (such as arcs, lines, text, numbers, or other graphics) over images captured by the smart device's camera, to indicate safe distances. The graphics serve to inform and/or warn the user that he or she may be getting too close to other persons.

Abstract: To enable efficient processing of an insurance claim that is submitted by a client, the presently disclosed embodiments include systems and methods that enable an insurance computing system to autonomously assess the risk of fraud associated with a claim by generating a risk score. The risk score may provide an indication of a likelihood of fraud associated with the claim based on similar insurance claims in the same geographical area, client information indicative of a likelihood to commit fraud, and/or a type of the claim. The insurance computing system may compare the risk score with a threshold number, and if the threshold number is exceeded, the insurance computing system may prompt the client to contact a service representative to further process or validate the claim. Otherwise, if the threshold number is not exceeded, the insurance computing system may continue processing the claim autonomously.

Abstract: A computer system includes a memory with instructions to receive telematics data regarding a vehicle, analyze the telematics data to determine a low fuel condition based on the fuel of the vehicle violating a predetermined threshold, and determine a location of the vehicle based on at least one of the telematics data. The instructions, in response to determining the low fuel condition, further identify one or more fuel dispensing stations in proximity to the location of the vehicle, provide information related to the one or more fuel dispensing stations to a mobile application displayed to a driver of the vehicle, and determine a scope of fueling permissions associated with the vehicle at the one of the one or more fuel dispensing stations. The instructions also automatically initiate a fueling session at the one of the one or more fuel dispensing stations contingent upon the scope of fueling permission.