Abstract: A method for generating computational predictions associated with a real-world entity is disclosed. The method comprises analyzing knowledge from a plurality of data sources; determining investment objectives associated with the real-world entity; applying, a plurality of ensembles of machine learning models to each of the plurality of data sources to conduct a combinatorial analysis of the plurality of data sources; generating, by colonies of Artificial Intelligence (AI) colonizers, intermediary outputs; analyzing the intermediary outputs in a weighted combination to generate weighted outputs; and assembling, by a supervisory algorithm, the weighted outputs based on the investment objectives to generate a computational prediction associated with the real-world entity.

Abstract: A method for establishing and generating contextual links between data from a plurality of data sources is described. The method includes receiving data and decomposing the received data into a decomposed data set; parsing and analyzing the decomposed data set based on a set of attribute analyzers to associate one or more attributes to the decomposed data set; determining an intent of data from the decomposed data set; generating a semantic graph of the decomposed data set based on the intent of data to evaluate data relatability between the decomposed data set; generating atomic knowledge units (AMUs) based on the parsed decomposed data set and the semantic graph; analyzing the AMUs corresponding to the received data by applying trained machine learning models to generate links between the AMUs and processing the generated links by a model ensemble to establish contextual links between data.

Abstract: A system for generating virtual representations of architecture, engineering, and construction (AEC) smart constructs is disclosed. The system includes a controller that determines user intent based on an analysis of a user input and further determines project objective constraints based on an evaluation of project objectives. Knowledge units are computed based on a plurality of nodes and a plurality of interdependencies of a computational graph. The plurality of nodes corresponds to the user intent, and the plurality of interdependencies is established based on the project objectives. Based on the knowledge units, computational simulations for the user intent are performed. Further, virtual representations of the AEC smart constructs in a digital environment are generated based on the computational simulations. The computational simulations meet a defined criteria associated with the project objectives.

Abstract: A method for simulating a product in a computing environment includes analyzing data related to at least constructional representation, determining a requirement of prefabricating at least one custom construction artefact for a construction project based on the analysis of the data, determining at least one of: an intent or at least one objective associated with the at least one custom construction artefact, and enabling simulation of the at least custom construction artefact based on the determination of the intent or the at least one objective to render a digital representation of the product in a graphical user interface.

Abstract: A method for creating a project manifest in a computing environment includes receiving a request related to a project, determining one or more project objectives related to the request, determining a set of constraints for the project, correlating the determined set of constraints with the one or more project objectives, evaluating the correlated set of constraints and the one or more project objectives to generate an optimized model, and creating a project manifest based on the optimized model for executing the project.

Abstract: A data movement system is provided for moving data using a data-to-file-to-data movement path. The data movement system includes a source database, a target database, a configuration database, and a data movement server. The data movement is in communication with the source database, the target database, and the configuration database. The processor is configured to receive a configuration record including source details and target details. The processor is also configured to define an extraction query based on the source details and to apply the extraction query to the source database to obtain an extraction load. The processor is further configured to generate a load file based on the extraction load, to define a load script based on the target details, and to apply the load script to the load file to obtain a load query. The processor is also configured to update the target database with the load query.

Abstract: A method for simulating a product in a computing environment includes analyzing data related to at least constructional representation, determining a requirement of prefabricating at least one custom construction artefact for a construction project based on the analysis of the data, determining at least one of: an intent or at least one objective associated with the at least one custom construction artefact, and enabling simulation of the at least custom construction artefact based on the determination of the intent or the at least one objective to render a digital representation of the product in a graphical user interface.

Abstract: A data movement system is provided for moving data using a data-to-file-to-data movement path. The data movement system includes a source database, a target database, a configuration database, and a data movement server. The data movement is in communication with the source database, the target database, and the configuration database. The processor is configured to receive a configuration record including source details and target details. The processor is also configured to define an extraction query based on the source details and to apply the extraction query to the source database to obtain an extraction load. The processor is further configured to generate a load file based on the extraction load, to define a load script based on the target details, and to apply the load script to the load file to obtain a load query. The processor is also configured to update the target database with the load query.

Abstract: A data movement system is provided for moving data using a data-to-file-to-data movement path. The data movement system includes a source database, a target database, a configuration database, and a data movement server. The data movement is in communication with the source database, the target database, and the configuration database. The processor is configured to receive a configuration record including source details and target details. The processor is also configured to define an extraction query based on the source details and to apply the extraction query to the source database to obtain an extraction load. The processor is further configured to generate a load file based on the extraction load, to define a load script based on the target details, and to apply the load script to the load file to obtain a load query. The processor is also configured to update the target database with the load query.