Abstract: An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.

Abstract: A method includes accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: Systems and methods for Artificial Intelligence (AI) Virtual Reality (VR) emotive conversation training.

Abstract: A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A method includes providing a data set to an artificial intelligence filter trained to detect sensitive data based on sensitive data rules and detect one or more sensitive data values in the data set. The one or more sensitive data values are replaced with one or more substitute values in the data set, and the data set is associated with a key value. The data set is sent with the one or more substitute values to a third-party service to obtain a result. The key value associated with the result is identified. The one or more sensitive data values associated with the one or more substitute values are determined based on the key value. The one or more substitute values are replaced with the one or more sensitive data values in combination with a portion of the result to create a modified result.

Abstract: An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.

Abstract: Artificial intelligence systems and methods providing enhanced prediction of information relevant to a conversation are disclosed. The method includes monitoring a conversation between a requestor and a provider. The method also includes determining metadata and text of the conversation. The method further includes determining a regional status of the requestor based on the metadata and text of the conversation, regional information, and regional classification rules. Additionally, the method includes determining a local status of the requestor based on the text of the conversation, the regional status, local information, and local classification rules. Moreover, the method includes determining suggestions based on the regional status, the local status, transactional status information, and transactional classification rules. Further, the method includes providing the suggestions to a user-interface device of the provider.

Abstract: An Artificial Intelligence (AI) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.

Abstract: An Artificial Intelligence (Al) three-dimensional modeling system that analyzes and segments imagery of a room, generates a three-dimensional model of the room from the segmented imagery, identifies objects within the room, and conducts an assessment of the room based on the identified objects.

Abstract: A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A method includes accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A system includes a processing device and memory device to provide a data set to an artificial intelligence filter trained to detect sensitive data based on sensitive data rules and detect one or more sensitive data values in the data set. The one or more sensitive data values are replaced with one or more substitute values in the data set, and the data set is associated with a key value. The data set is sent with the one or more substitute values to a third-party service to obtain a result. The key value associated with the result is identified. The one or more sensitive data values associated with the one or more substitute values are determined based on the key value. The one or more substitute values are replaced with the one or more sensitive data values in combination with a portion of the result to create a modified result.

Abstract: A method includes accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: Artificial intelligence systems and methods providing enhanced prediction of information relevant to a conversation are disclosed. The method includes monitoring a conversation between a requestor and a provider. The method also includes determining metadata and text of the conversation. The method further includes determining a regional status of the requestor based on the metadata and text of the conversation, regional information, and regional classification rules. Additionally, the method includes determining a local status of the requestor based on the text of the conversation, the regional status, local information, and local classification rules. Moreover, the method includes determining suggestions based on the regional status, the local status, transactional status information, and transactional classification rules. Further, the method includes providing the suggestions to a user-interface device of the provider.

Abstract: A system for risk reduction is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a first input corresponding to an asset of a user and deriving as a second input a benchmark from system data stored on a database. The instructions that when executed by the processing device may further result in calculating a difference between the first input and the second input, wherein a difference exceeding a predetermined amount indicates existence of the degradation condition, in which substantial damage to or failure of the asset or a component of the asset is imminent.

Abstract: Systems, apparatus, methods, and articles of manufacture provide for facilitating verification of insurance information via a game system. Some embodiments provide for rewarding a customer with a game reward (e.g., points, in-game content) in exchange for the customer submitting, via a mobile device, a digital image of a customer activity or other information related to an insurance product.

Abstract: A novel real time internet communication system is disclosed. It is a novel way for users to collaborate on the fly, and without having to own or download any programs that then stay resident on the user's computer. It is marketed under a novel business system that makes highly productive software available to businesses and end users, but which is not purchased by customers or end users, has no conventional distribution system, and never requires update, installation or rollout by the customer or end user.

Abstract: A novel real time Internet communication system is disclosed. It is a novel way for users to collaborate on the fly, and without having to own or download any programs that then stay resident on the user's computer. Users collaborate in an online environment where they communicate through chat room type dialogue, while at the same time, one or more users designated as leaders guide the other participants' browsers to selected sites on a distributed network or the Internet. It is marketed under a novel business system that makes highly productive software available to businesses and end users, but which is not purchased by customers or end users, has no conventional distribution system, and never requires update, installation or rollout by the customer or end user.