Abstract: Systems and methods for data visualization in the metaverse with portability to multiple metaverse channels are disclosed. In one embodiment, a method for data visualization in the metaverse with portability to multiple metaverse channels may include: (1) ingesting, by a data rendering computer program, data from a plurality of data sources, each data source associated with an entity; (2) categorizing, by the data rendering computer program, the ingested data into a plurality of categories, wherein each category of data comprises data from a subset of two or more of the plurality of the data sources; and (3) streaming, by the data rendering computer program, one of the categories of data to an immersive input/output device associated with a user over one of a plurality of metaverse channels, wherein the category of data is consumed by the immersive input/output device.

Abstract: In some aspects, the techniques described herein relate to a method including: executing a first query, at a predefined time interval, against a target datastore for insight records related to an entity identifier; storing results of the first query as a record set, wherein the record set includes one or more existing insight records, and wherein each existing insight record includes connection information for connecting to a corresponding insight datastore; executing insight retrieval logic for each insight record in the record set, wherein the insight retrieval logic executes a second query against the corresponding insight datastore and retrieves a new insight value from the corresponding insight datastore; persisting the new insight value in a new insight record in the target datastore; and sending the new insight record as a communication to a recipient.

Abstract: A method for performing a query based on a natural language voice input is provided. The method includes receiving, via a microphone, a voice input of a user, and converting the voice input into a first text data object. The method further includes converting the first text data object into a first technical language object using AI, and submitting a query based on the first technical language object. A query result in a second technical language object is retrieved in response to the query, and the query result is converted into a second text data object using AI. The method further converts the second text object into a voice data object indicating the query result, and outputs a voice signal to provide the information of the query result in a natural language form to the user.