Abstract: Methods, systems, and computer readable media for predictively determining a risk of damage to a property are provided. To determine the risk, a high resolution virtual model of a region that includes the property is obtained. The virtual model is imported into a simulation environment. One or more of the simulation parameters are set based on historic weather data for the region. For example, each parameter may be associated with a probability distribution derived based on the historic weather data that is sampled prior to executing the simulation. One or more simulations are executed in accordance with the sampled inputs to simulate the likely weather patterns the property will experience. The result of the simulation is analyzed to determine the predicted risk of damage to the property.

Abstract: Methods and systems for managing and/or processing a blockchain to maintain data security for confidential and/or personal data are provided. According to certain aspects, the disclosed data security techniques may enable access sharing functionality utilizing the blockchain. The data security techniques disclosed herein also enable the use of smart contracts to transfer funds associated with payment obligations. A node may receive a transaction indicative of a settlement condition of a smart contract being satisfied. Accordingly, the transaction may be compiled into a block of a blockchain and routed to the smart contract. The smart contract may direct a node to transfer funds in accordance with the payment obligations.

Abstract: The following generally relates to using Augmented Reality (AR) to enhance the in-vehicle experience. In some examples, AR techniques are applied to provide AR indications of vehicle safety indicia to alert vehicle occupants to information that may not otherwise be perceptible. In other example, AR techniques are applied to provide emergency vehicle warnings to improve the likelihood of safe responses thereto. In yet other examples, AR techniques are applied to generated personalized outdoor displays, for example, to ameliorate conditions that may impair safe operation of a vehicle.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for tracking changes for a user. Example methods may include implementing one or more servers, each of the one or more servers maintaining a copy of a distributed ledger; detecting a change in a policy or claim status for a user; responding to the detection of the change, including: (i) generating, via a server of the one or more servers, a transaction record for the distributed ledger including data corresponding to the change; (ii) generating a hash value representative of at least the transaction record using at least a generated nonce value; and (iii) storing the transaction record and the hash value to each copy of the distributed ledger at the one or more servers; and performing a function based upon the transaction record stored to the distributed ledger.

Abstract: A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant with arbitration. Evidence regarding the value of the subrogation claim is sent to the shared ledger by the parties to the subrogation claim, such as sending data to a smart contract deployed on the shared ledger. The parties to the claim may request arbitration, especially after attempts to settle the claim on-chain between the two parties have failed. An arbitrator may request evidence from the parties and/or request responses from the parties to accept damages calculations and/or settlement offers. Once the claim is resolved, the arbitrator may release funds on the chain to the prevailing party or may accept confirmation that any payments have been made between the parties off-chain.

Abstract: The following relates generally to AI-based review of insurance claims complaints. In some embodiments, one or more processors: (1) receive, via a chatbot, an insurance claim complaint; (2) categorize, via the chatbot, the insurance claim complaint by determining a category of the insurance claim complaint, the category comprising a tone category or a policy category; (3) build, via the chatbot, a complaint report including information of the insurance claim complaint and an indication of the category; and/or (5) send, via the chatbot, the complaint report to an insurance complaint administrator computing device.

Abstract: The following relates generally to artificial intelligence (AI)-based responses to social media posts. In some embodiments, one or more processors may be configured to: (1) receive, via a chatbot, a social media post; (2) categorize, via the chatbot, the social media post; (3) determine, via the chatbot, based upon the categorization, an entity to contact; (4) build, via the chatbot, based upon the determined entity to contact, a response to the social media post; and/or (5) send, via the chatbot, the response to the entity.

Abstract: The following relates generally to artificial intelligence (AI)-based communication with an insurance customer. In some embodiments, one or more processors: receive, via a chatbot (or voicebot or other bot), a question in a first language; translate, via the chatbot, the question from the first language to a second language; determine, via the chatbot, an answer to the translated question, the answer being determined in the second language; translate, via the chatbot, the answer from the second language to the first language; and/or present, via the chatbot, the answer in the first language to an insurance customer.

Abstract: Methods and systems for alerting a user of accident-prone locations are disclosed herein. In some embodiments, the method comprises: (1) receiving, by one or more processors and from a user device associated with the user, location data and motion data of the user device; (2) determining, by the one or more processors, based upon the motion data, that the user has started a trip; (3) loading, by the one or more processors, an accident density map surrounding a location of the user device based upon the location data; (4) determining, by the one or more processors, based upon the accident density map, at least one accident-prone location within a scope of the accident density map, wherein the at least one accident-prone location meets at least one predetermined criterion; and/or (5) presenting, by the one or more processors via the user device, an indication of the at least one accident-prone location.

Abstract: Methods and systems for alerting a user of crime-prone locations are disclosed herein. In some embodiments, the method comprises: (1) receiving, by one or more processors from a user device, location data of the user device and a destination input by the user; (2) determining, by the one or more processors, based upon the location data, that the user device is approaching the destination; (3) loading, by the one or more processors, a crime density map surrounding the destination; (4) determining, by the one or more processors, based upon the crime density map, at least one non-crime-prone parking spot, wherein the at least one non-crime-prone parking spot meets at least one predetermined criterion; and/or (5) presenting, by the one or more processors via the user device, an indication of the at least one non-crime-prone parking spot.

Abstract: The following generally relates to using Augmented Reality (AR) to enhance pedestrian navigation. In some examples, AR techniques are applied to provide AR indications of a location of a group member that includes two or more AR devices. In these examples, AR techniques may be applied to determine a relative position of the group member and/or provide navigational guidance to the group member. In other examples, AR techniques are applied to provide AR-assisted pedestrian guidance. In these examples, AR techniques may be applied to present an AR display that includes information for a point of interest along a route.

Abstract: Methods and systems for managing and/or processing a blockchain to maintain data security for confidential and/or personal data are provided. According to certain aspects, the disclosed data security techniques may enable access sharing functionality utilizing the blockchain. The data security techniques disclosed herein also enable the use of smart contracts to transfer funds associated with payment obligations. A node may receive a transaction indicative of a settlement condition of a smart contract being satisfied. Accordingly, the transaction may be compiled into a block of a blockchain and routed to the smart contract. The smart contract may direct a node to transfer funds in accordance with the payment obligations.

Abstract: The present methods and systems relate to using and accessing data stored in a blockchain, and in particular, interacting with the blockchain and users to provide bank card activation services using smart contracts. The methods and systems include (1) receiving a credit card application package associated with a credit card, wherein the credit card application package includes credit card information and a set of user information, (2) verifying the credit card information and the set of user information, (3) checking the credit card information and the set of user information against the smart contract stored on the blockchain, wherein the smart contract includes a set of conditions, and (4) activating the credit card when the credit card information and the set of user information satisfy the set of conditions stored in the smart contract.

Abstract: A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant with arbitration. Evidence regarding the value of the subrogation claim is sent to the shared ledger by the parties to the subrogation claim, such as sending data to a smart contract deployed on the shared ledger. The parties to the claim may request arbitration, especially after attempts to settle the claim on-chain between the two parties have failed. An arbitrator may request evidence from the parties and/or request responses from the parties to accept damages calculations and/or settlement offers. Once the claim is resolved, the arbitrator may release funds on the chain to the prevailing party or may accept confirmation that any payments have been made between the parties off-chain.

Abstract: Apparatuses, systems and methods are provided for checking code for errors. The apparatuses, systems and methods may send a target code and a prompt for code checking to a machine learning (ML) chatbot to cause the ML chatbot to check the target code for errors. The apparatuses, systems and methods may determine whether there is an error in the target code based at least partially on a response from the ML chatbot. The apparatuses, systems and methods may, responsive to determining that there is an error in the target code, determine, via an interaction with the ML chatbot, a solution to fix the error. The apparatuses, systems and methods may analyze the solution to determine a number of at least one of (i) a set of steps or (ii) a set of interactions required by the solution. The apparatuses, systems and methods may, responsive to determining that the number exceeds a predetermined threshold, fix the error by implementing the solution with respect to the target code.

Abstract: Apparatuses, systems and methods are provided for checking code for errors. The apparatuses, systems and methods may send a target code and a prompt for code checking to a machine learning (ML) chatbot to cause the ML chatbot to check the target code for errors. The apparatuses, systems and methods may determine whether there is an error in the target code based at least partially on a response from the ML chatbot. The apparatuses, systems and methods may, responsive to determining that there is an error in the target code, determine, via an interaction with the ML chatbot, whether there is a solution to fix the error. The apparatuses, systems and methods may, responsive to determining that there is a solution to fix the error, cause the ML chatbot to (i) fix the error, and/or (ii) present the error and/or the solution to a user.

Abstract: Apparatuses, systems and methods are provided for generating customized code. The apparatuses, systems and methods may cause a chatbot to generate customized code. The apparatuses, systems and methods may integrate the customized code in an insurance application. The customized code, when executed by one or more processors, may cause the one or more processors to collect user information from a user device, determine whether a change of insurance policy for the user is required, and responsive to determining that a change of insurance policy is required, automatically update the insurance policy in the insurance application based upon the required change.

Abstract: A computer system may include one or more processors configured to: (1) obtain insurance claim information; (2) generate, via an ML chatbot (or voice bot), the customized presentation based upon the insurance claim information; and/or (3) provide, via the ML chatbot, the customized presentation to a user device, such as a visual depiction and/or a verbal description of the customized presentation.

Abstract: The present embodiments relate to systems and methods for using a blockchain to record information related to the lifecycle of a vehicle associated with a Vehicle Identification Number (VIN), or other vehicle identifier. For example, the VIN lifecycle process may be used to ensure the transferability of title, including when information relevant to transferability is not easily determinable, such as after a collision occurs. The systems and methods may include the reception of a mileage report corresponding to a vehicle and updating a blockchain to associate the vehicle with mileage information. The systems and methods described herein may allow for using a blockchain which gives the option for private information, and permissioned participants in the blockchain. In particular, the systems and methods allow for a distributed consensus amongst businesses, consumers, and authorities, as to the validity of information and transactions stored on the blockchain.

Abstract: Systems and methods for an artificial intelligence (AI)/machine learning (ML) chatbot for intelligent negotiation of terms is disclosed herein. An exemplary computing system includes one or more processors; and a memory storing executable instructions thereon. When executed by the one or more processors, these instructions may cause the one or more processors to: receive, from a first contracting party during a negotiating period, a plurality of prospective terms for a contractual agreement; and determine, via an AI chatbot, whether the plurality of prospective terms are acceptable terms based on a plurality of parameters indicated by a second contracting party. Responsive to determining that the plurality of prospective terms are unacceptable terms, the instructions may further cause the processors to generate, via the AI chatbot, a plurality of counter terms based on the plurality of parameters; and transmit the plurality of counter terms to the first contracting party.