Abstract: A computing system receives a document to be analyzed. The document is associated with a document type of a plurality of document types. The computing system determines the document type associated with the document. The computing system routes the document to a plurality of name entity recognition transformer models trained to identify a plurality of entities in the document. The plurality of name entity recognition transformer models extracts the plurality of entities from the document. For each word in the document, a multi-modal encoder-based transformer model determines a probability that the word is an entity based on output generated by the plurality of name entity recognition transformer models and the document. The computing system generates a summary of the document by arranging the plurality of entities in accordance with an ontology dedicated to the document type.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: At least one processor may receive vent data describing a plurality of events related to equipment managed by a building management system. The at least one processor may process the event data using at least one machine learning model. Outputs of the at least one machine learning model may include at least a priority label and a probability score for each respective event in the event data. The at least one processor may generate a user interface within the building management system. The user interface may indicate at least the priority label and the probability score for at least one of the events.

Abstract: At least one processor may receive data descriptive of operation of equipment and store the data in a data store. the at least one processor may build a digital twin of the equipment using the data by training at least one machine learning model on at least a portion of the data in the data store and building a model accessible by a user interface and comprising at least one parameter determined by the trained machine learning model. The at least one processor may simulate operation of the equipment using the digital twin in response to receiving an entry in at least one user-variable input included in the model.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: A computer-implemented system and method of analyzing property data for deriving property attractiveness ratings is provided. The method includes providing a Property Attractiveness Rating (PAR) application executed by one or more processors of a computing system. A computing system may present a geographical map-based interactive user interface for a user to search for a property on a map, receive a user input with one or more property attributes via the user interface, and search the database to obtain and present one or more properties of interest on the map. The computing system may execute a learning system of the PAR application to generate a PAR rating for the selected property of interest. The computing system may present to the user the generated PAR of the selected property of interest with respective property information on the map.

Abstract: In accordance with some embodiments, a method managing information about building resources is disclosed. In accordance with some embodiments, a method for providing data to an end user application is disclosed. A method may include identifying a data model representing information about building resources for tenants and investors in various locations, updating information in the data model, and providing the updated information to a client device for use in an application that provides information about building resources.

Abstract: In accordance with some embodiments, a method managing information about building resources is disclosed. In accordance with some embodiments, a method for providing data to an end user application is disclosed. A method may include identifying a data model representing information about building resources for tenants and investors in various locations, updating information in the data model, and providing the updated information to a client device for use in an application that provides information about building resources.

Abstract: A computer-implemented system and method of analyzing historical business data and business objectives for real estate solution prediction is provided. The method includes receiving a user dataset associated with a business entity by a server computing device. The server may determine a set of forecasted headcounts at different points of future time based on a historical headcount, generate a plurality of scenarios associated with the business entity based on the forecasted headcount and the commercial objective dataset, and construct option trees with respective real estate solutions corresponding to respective scenarios. A neural network system may be configured to perform stress tests against respective scenarios to evaluate respective real estate solutions and determine respective costs and actions associated with respective real estate solutions.

Abstract: Embodiments of the disclosure provide an endorsed value in a permissioned ledger in a DDBMS. The permissioned ledger includes entries, each comprising a key and at least one value. Permission is required for a peer node to access the ledger. Digital transactions may only be appended to the ledger. Each peer node maintains at least a portion of a replica of the ledger. A request for valuation of an object is received. A candidate object value of the object is obtained. An endorsed object value of the object is obtained based upon a consensus protocol among peer nodes in the network. A data block is added to the ledger including the endorsed object value, where the added data block is cryptographically linked to a previous data block.

Abstract: In accordance with some embodiments, a method managing information about building resources is disclosed. In accordance with some embodiments, a method for providing data to an end user application is disclosed. A method may include identifying a data model representing information about building resources for tenants and investors in various locations, updating information in the data model, and providing the updated information to a client device for use in an application that provides information about building resources.

Abstract: In accordance with some embodiments, a method for providing or receiving information about building resources is disclosed. In accordance with some embodiments, a method for sharing a location in a building is provided. In accordance with some embodiments, a method for reserving a space is disclosed. In accordance with some embodiments, a method for sharing information about an issue is disclosed. In accordance with some embodiments, a method for providing information to a building visitor is disclosed.