Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an indication that a vehicle has been in a collision. Receiving vehicle information system (VIS) data from a VIS associated with the vehicle. Determining a component damage probability (CDP) for each of a plurality of components of the vehicle based on the VIS data. Determining estimated costs to replace components having respective CDPs above a threshold value. Providing an estimated total repair cost for the vehicle to a user computing device.

Abstract: A method for detecting a fraud attempt in a communication session may include receiving, via at least one processor, a set of data associated with a communication session between a representative of an organization and a user, tagging, via the at least one processor, one or more items of the set of data as one or more tagged data items, applying, via the at least one processor, a fraud detecting algorithm to the one or more tagged data items to determine a percent likelihood of the user attempting to defraud the representative, generating, via the at least one processor, a visualization based on the percent likelihood, and displaying, via the at least one processor, the visualization via an electronic display during the communication session.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving first voice data from a user, receiving behavior data associated with the user, and determining that the user is authentic at least partially based on voice recognition of the first voice data, and behavior analysis of the behavior data, and subsequently: prompting one or more spoken commands from the user, receiving second voice data representative of at least one spoken command of the user to trade at least one financial instrument, providing trade data for executing the trade of the at least one financial instrument, and determining that the trade data is valid at least partially based on the second voice data, and in response, initiating execution of the trade.

Abstract: Techniques are described for routing service requests in a service environment. Received requests received may be analyzed to determine characteristics of each request, including a category of the request, a difficulty of the request, and the individual who submitted the request. A list of pending requests may be presented in a user interface (UI) according to a hierarchical set of filters. A service representative (SR) may select a pending request to handle and, in response, a service session may be initiated between the SR and the individual who submitted the request. Each request may be assigned a point value according to a set of configurable rules, e.g., based on the difficulty of the request, the amount of time it has been pending in the queue of requests, and/or other characteristics. The point value of the request may be added to a score of the SR who handles the request.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an crowd sourced training of an artificial intelligence system. One of the methods includes generating a training set using the customer communication information. The method includes training an artificial intelligence system using the training set. The method includes extracting at least one conversation pattern using the artificial intelligence system. The method includes the actions of instructing a chat application to process the at least one conversation pattern.

Abstract: A method for detecting a fraud attempt in a communication session may include receiving, via at least one processor, a set of data associated with a communication session between a representative of an organization and a user, tagging, via the at least one processor, one or more items of the set of data as one or more tagged data items, applying, via the at least one processor, a fraud detecting algorithm to the one or more tagged data items to determine a percent likelihood of the user attempting to defraud the representative, generating, via the at least one processor, a visualization based on the percent likelihood, and displaying, via the at least one processor, the visualization via an electronic display during the communication session.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an indication that a vehicle has been in a collision. Receiving vehicle information system (VIS) data from a VIS associated with the vehicle. Determining a component damage probability (CDP) for each of a plurality of components of the vehicle based on the VIS data. Determining estimated costs to replace components having respective CDPs above a threshold value. Providing an estimated total repair cost for the vehicle to a user computing device.

Abstract: Techniques are described for migrating information (e.g., funds) from a first account to a second account. Account information for the first account may be analyzed to identify periodic, regular, and/or semi-regular transactions of a first type (e.g., charge(s)) made from the first account. The account information may also be analyzed to identify periodic, regular, and/or semi-regular transactions of a second type (e.g., payment(s)) made into the first account. The transactions(s) of the first type may be migrated to be paid out of the second account, and the transactions(s) of the second type may be migrated to be paid into the second account. After migration of transaction(s) is completed, the remaining funds may be transferred from the first account into the second account. In some instances during the migration process, funds may be transferred from the first account to the second account to cover charges made against the second account.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: A method includes collecting sensor data from a sensor associated with a vehicle, storing the sensor data in a buffer associated with the sensor, wherein the buffer stores an amount of buffer data, analyzing the sensor data for a proximate event trigger. When the proximate event trigger is not detected, the method includes purging a portion of the sensor data exceeding the amount of buffer data. When the proximate event trigger is detected, the method includes stopping the purging of any of the sensor data and storing the sensor data of the buffer and the sensor data associated with the proximate event trigger, and sending the sensor data of the buffer and the sensor data associated with the proximate event trigger to a server.

Abstract: A method includes collecting first data from a first sensor associated with a vehicle and determining, based on the first data, that an event involving the vehicle may occur. The method includes identifying a second sensor located within a proximity of the vehicle and causing the second sensor to collect second data. The method also includes associating the first data and the second data with a first event associated with the vehicle.

Abstract: A computer-implemented method for integrating sound data into a telecommunication system, said method comprising receiving, at a processor, one or more sound signals from a telecommunication device of a first user during a conversation with the first user, determining, in real time from the sound signals, one or more qualities of the sound signals for recognition of the sound signals, and displaying a visual representation of the sound signals to a second user. Qualities of the sound signal to be determined include, but are not limited to: a) the words that were spoken b) the intent expressed and their context and c) the sentiment of the speaker. Visual representation of the sound signal to the second user include, but are not limited to: a) specific words that were spoken by the first user b) high level intent expressed by the words and the first users context c) information related to or inferred from the spoken words (e.g.

Abstract: A method includes collecting first data from a first sensor associated with a vehicle and determining, based on the first data, that an event involving the vehicle may occur. The method includes identifying a second sensor located within a proximity of the vehicle and causing the second sensor to collect second data. The method also includes associating the first data and the second data with a first event associated with the vehicle.