Abstract: A method for part replacement timing optimization. The method includes training a wear estimate model. Training the model includes predicting a plurality of wear patterns for a part, each wear pattern corresponding to a degree of severity. Training images are rendered for each wear pattern. Each of the training images is labeled with the corresponding degree of severity. A neural network is then trained with the labeled training images. An image of a deployed part associated with a machine is received and fed into the trained wear estimate model. The method further includes receiving a wear estimate for the part image from the trained wear estimate model, estimating a change in performance of the machine based on the wear estimate, and determining a machine utilization pattern for the machine. The machine utilization pattern and the change in performance estimate are combined to determine an optimal time to replace the part.

Abstract: The disclosure includes embodiments for modifying a performance of a vehicle component whose performance is affected by a vehicle fluid that is contaminated by water. A method according to some embodiments generating a digital twin of a vehicle. The method includes receiving digital data recorded by a sensor and describing the vehicle as it exists in a real-world. The method includes updating the digital twin of the vehicle based on the digital data describing the vehicle so that the digital twin is consistent with a condition of the vehicle as it exists in the real-world.

Abstract: System and method for automatically calling back a customer via a predictive model determines a plurality of call-back metrics for a plurality of advisor records. The predictive model is applied to call-back data to identify customers that are likely to require a series of call-backs, and automatically generates a preferred call-back to such customers to reduce this risk. The automated call-back may follow termination of an identified customer's inbound call, or at some time after completion of a previous call interaction of the identified customer with an advisor. In the predictive model, a first compilation of call-back metrics record is representative of an overall likelihood of call-backs associated with each advisor record, and a second compilation of the plurality of call-back metrics is representative of a likelihood of call-backs for each of the plurality of products of the enterprise associated with the advisor record.

Abstract: Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.

Abstract: A method for tailoring a document for viewing on a mobile device includes obtaining residence information for an individual who is required to sign the document. The document is tailored to the residence of the individual. This includes hiding or condensing one or more portions of the document that pertain to laws in other jurisdictions. The document is permitted to be accessible by the mobile device.

Abstract: The subject technology receives session data from a set of users associated with a retail website. The subject technology generates, using at least one machine learning model, a purchase intent prediction based at least in part on the session data. The subject technology determines a set of sessions that correspond to conversions on the retail website based on the session data. The subject technology generates a combination of data using first data from the purchase intent prediction with second data based on the set of sessions that correspond to conversions. The subject technology generates information related to a missed purchase segment based at least in part on the combination of data. The subject technology provides the information for display on a client device.

Abstract: A monitoring platform may obtain information that identifies a product or service and may collect one or more reviews associated with the product or service from a plurality of sources, wherein each review includes respective review information. The monitoring platform may process the one or more reviews to determine respective additional review information associated with each review of the one or more reviews. The monitoring platform may select, using a machine learning model, a particular review, of the one or more reviews, based on the review information and the additional review information associated with the one or more reviews. The monitoring platform may cause display, on a display of a client device, of a prompt for a response to the particular review and may obtain the response from the client device. The monitoring platform may cause the response to be posted to a source associated with the particular review.

Abstract: A system and method are provided for controlling visibility of elements of displayed electronic content. The method includes providing via a communications module a user interface viewable by a plurality of entity devices, and enabling via the communications module the user interface to display electronic content comprising at least one element. The method also includes determining at least one filtering criterion for controlling visibility of the at least one element of the electronic content being displayed, and concealing or modifying at least one element of the electronic content as displayed in the user interface for at least one of the plurality of entity devices, according to the at least one filtering criterion.

Abstract: A system and method are provided for searching and monitoring assets available for acquisition. The method includes receiving a first signal including data associated with an acquiring entity, receiving a second signal including search data generated by the acquiring entity when interacting with at least one electronic listing service comprising searchable data associated with a plurality of assets available for acquisition, storing user profile data for the acquiring entity, the user profile data comprising at least a portion of the data associated with the acquiring entity, and at least a portion of the search data. The method also includes using the user profile data to search or monitor assets listed in the at least one electronic listing service to generate a result list of matched assets and sending a third signal including an electronic notification related to the result list, to a device associated with the acquiring entity.

Abstract: A method for extracting a dam emergency event based on a dual attention mechanism is provided. The method includes: performing data preprocessing, building a dependency graph, building a dual attention network, and filling a document-level argument. The performing data preprocessing includes labeling a dam emergency corpus and encoding sentences. Building a dependency graph includes assisting a model to mine a syntactic relation based on a dependency. Building a dual attention network includes weighing and fusing an attention network based on a graph transformer network (GTN) and capturing key semantic information in the sentence. Filling a document-level argument includes filling a document-level argument by detecting a key sentence and ordering a semantic similarity. The method introduces a dependency and overcomes the long-range dependency problem based on the dual attention mechanism, thus achieving high identification accuracy and reducing a lot of labor costs.

Abstract: Automated vehicle repair estimation by preferential ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from each source of a plurality of the sources, a respective vehicle repair recommendation set for a damaged vehicle, wherein each vehicle repair recommendation set identifies a recommended vehicle repair operation of a plurality of the vehicle repair operations for the damaged vehicle; determining a respective source rank of each source from a plurality of the source ranks; generating a composite vehicle repair recommendation set that identifies the recommended vehicle repair operations in an order determined according to the source ranks of the respective sources; and providing the composite vehicle repair recommendation set to one or more vehicle repair insurance claims management systems.

Abstract: A system and method for calculating a journey excellence score (JES) for a customer journey in a contact center, including, during a training phase: representing each of a plurality of tagged customer journeys by a list of attributes and a value associated with each of the attributes, wherein each of the tagged customer journeys is tagged with respect to a dissatisfaction indicator, and training a model using the plurality of tagged customer journeys, based on the associated values and tags, to generate model weights; and at runtime: obtaining the customer journey; representing the customer journey by the list of attributes and a value associated to each of the attributes; and calculating the JES for the customer journey by applying the model weights to the associated values.

Abstract: Considering the number of OSS components and the number of OSS license types available today, the number of license attributes to be considered for analyzing a product at a granular level is a challenge to perform manually, prudently considering legal implications of non-compliance and contamination and also within the limited time available today before go to market in the software industry. Systems and methods of the present disclosure intelligently facilitates a matrix which is able to identify OSS components in a deliverable and also facilitates the product owner to identify proprietary IP that can be suitably protected and licensed without contamination by the accompanying OSS components in the product under consideration. License attributes of the OSS components are mapped suitably and a final attribute is derived for each OSS component embedded in the product under consideration.

Abstract: A system is provided for generating compliance manuals from modularized data and taxonomy-based classifications of regulatory obligations. The system comprises a plurality of databases storing regulatory compliance data and a plurality of processors that process the regulatory compliance data to generate business requirements for complying with regulatory obligations and corresponding compliance information related to the business requirements. A taxonomy engine receives business operating parameters related to a first business and identifies a subset of the business requirements and compliance information related to the business operating parameters of the first business. The taxonomy engine further aggregates the business requirements and the compliance information related to the business operation parameters and generates a compliance manual containing the business requirements and the compliance information for use by the first business.

Abstract: A blockchain-based method for purchase document transformation and accountability is provided. Offer documents for a real estate transaction are maintained and a review of the documents is performed by comparing populated fields of each document with offer compliance guidelines. When the fields of the offer documents comply with the offer compliance guidelines, the offer documents are grouped as an offer for the transaction. Public and private documents from the offer are formed as separate data blocks, which are provided to a tier of supernodes. Each data block is added to a ledger of transactions via one of the supernodes. A copy of each data block is stored on each of the supernodes. An immutable record of each data block is transmitted from the supernode to a tier of network nodes and the immutable record of each data block is committed to a blockchain via each of the network nodes.

Abstract: Systems and methods for determining land use development potential are provided, including a graphical user interface for real-time analysis. The systems and methods further implement search functions and real-time feedback and recommendations for real-time adjustment of a proposed land use development plan to ensure compliance with environmental and regulatory information.

Abstract: Systems, methods, and storage mediums storing methods of natural capital measurement are described. A region of influence for the area whose natural capital is to be measured is determined and segmented into a plurality of segments. A land assessment model, including a system dynamics model and a spatially explicit model, is generated for the region of influence by training one or more machine learning algorithms to classify land use categories for the segments and to determine statistical relationships between state variables and properties of the segment. A flow sequence for simulating a transport of materials between the plurality of segments is executed to update the land assessment model. Health indicators for the natural capital of the area are generated using the updated land assessment model.

Abstract: Provided herein are media, systems, and methods that identify the address of a rental property from public sources (e.g., rental listings, maps, and county property records). A data mining task process may be performed, by each of a plurality of first data ingestion interfaces to a unique external property data source, to determine at least one property record depiction, each property record depiction associated with a property record. A first machine learning algorithm may be applied to the at least one rental property depiction and the at least one property record depiction from each data source to identify one or more common property records, wherein each common property record comprises a property record that refers to the rental property. A data mining task process may be performed, by a second data ingestion interface to the one or more common property records to determine the street address of the rental property.

Abstract: Calculating a score for a chain of interactions in a call center may include: during a first training phase, train a first model which, given an interaction and interaction metadata, predict an initial estimated customer satisfaction score; during a second training phase, train a second model which, given an interaction and interaction metadata, text and metadata of an immediately preceding interaction in a chain of interactions, and features of the chain, predict a refined estimated customer satisfaction score; and during an inference phase: given a chain of interactions and metadata of each interaction, compute an initial estimated customer satisfaction score for each interaction using the first model; beginning with a second interaction in the chain and metadata of each interaction, compute a refined estimated customer satisfaction score for each interaction using the second model; combine the interaction scores into a combined customer satisfaction score; and output the score.

Abstract: Disclosed herein is a method of lead routing with a lead-management system including, in some embodiments, sending borrower information for a potential borrower from a database server of a lending platform to a database server of a brokering platform to supply buyer information for a potential buyer of real estate. The method also includes, in some embodiments, capturing real estate-buying criteria of the potential buyer. The method also includes, in some embodiments, matching the potential buyer with up to five licensed real-estate professionals associated with the brokering platform using at least in part some of the real estate-buying criteria. The method also includes, in some embodiments, notifying each real-estate professional of the up-to-five licensed real-estate professionals of the potential buyer by way of at least a text message sent by a web server of the brokering platform through an SMS gateway.