Apparatuses, systems and methods are provided for generating enterprise data relating to roof damage associated with weather and hail data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the base-line probable roof loss confidence scores. The apparatuses, systems and methods may generate probable roof loss confidence score data based upon the base-line probable roof loss confidence scores, weather event data and hail event data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the probable roof loss confidence score.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

Disclosed herein is a method for facilitating predicting a future value of real estate assets. The method may include receiving at least one real estate asset indication of a real estate asset from at least one user device, identifying an asset location of the real estate asset, retrieving price information of the real estate asset from a distributed ledger, retrieving one or more indexes associated with the asset location from the distributed ledger, analyzing price trend and the one or more indexes, establishing a correlation between the price trend and the one or more indexes, generating the future value for the real estate asset at a future time, transmitting the future value of the real estate asset to the at least one user device and storing one or more datasets to the distributed ledger.

A system, method and computer program product for open innovation including an asset valuation device receiving asset information about tangible or non-tangible assets, and generating a valuation signal, based on the asset information; a self-executing code device receiving the valuation signal, and generating a self-executing code signal, based on the valuation signal; an air router device having both a low band radio channel, and an internet router channel for redundant internet communications, and a malicious code removal device for scrubbing malicious code from data received, receiving the valuation signal, and generating a node voting request signal, based on the valuation signal; and a mesh network having a plurality of node devices receiving the node voting request signal, and generating vote confirmation signals, based on the node voting request signal. Computing devices are connected to the node devices to perform problem solving, smart contract processing, and/or cryptocurrency mining.

A method for augmenting a review. The method includes accessing a review database and a particular review of an object. Providing a reviewer profile including a plurality of reviewer attributes and analyzing the reviewer attributes to determine a rationale for the review.

An interactive video distribution system and video player are described. A client server arrangement may be used for providing a video player and video content to a client device. The video player may display navigation images enabling navigation to specific portions of the video content by activating a corresponding navigation image. The video player may also enable the sharing of a segment of the video with other video players, enabling the video players to play the streamed segment of the video without having to play the entire video, thereby reducing network bandwidth usage. The video player may be embeddable. The server may associate searchable tags with respective video segments.

Embodiments for determining a traded item's value are described herein. An embodiment includes identifying conditions for use in computing a value of the tradable object. The embodiment further includes determining whether a condition is satisfied based on market data, for example, and if the condition is satisfied, then determining the value of the item based on a rule associated with the condition; and if the condition is not satisfied, then determining whether a subsequent condition is satisfied. If a subsequent condition is satisfied, then determining the value of the tradable object based on a rule associated with the subsequent condition. An embodiment further includes computing an open profit and loss value based on the item's value. Other embodiments are also disclosed.

The invention relates to classic car restoration services systems and methods, and, more particularly to classic car restoration services interfacing systems and methods allowing classic car facilities and enthusiasts to document, represent to prospective buyers, acquire classic cars and to facilitate their restorations.

A non-transitory computer-readable recording medium storing a risk analysis program for an artificial intelligence (AI) system, the analysis program being a program for causing a computer to execute processing, the processing including: acquiring a plurality of pieces of relational information that include at least two attributes among an attribute of a type of an object person, an attribute of a type of processing, and an attribute of a type of data, wherein the relational information is determined on a basis of a configuration of the AI system; determining a priority of the plurality of pieces of relational information on a basis of the attribute of the type of the object person; and outputting one or a plurality of check items selected on a basis of the determined priority from among a plurality of check items associated with each attribute as a checklist for the AI system.

An information processing device including a processor, wherein the processor is configured to: acquire vehicle information relating to a vehicle; evaluate a value of structural information, which includes the acquired vehicle information, by using a predetermined evaluation standard; and present a user of the vehicle with the evaluated value of the structural information.