Abstract: Systems and methods for continuing interactions across modalities and technologies are disclosed. A method may include: a computer program executed by a backend electronic device receiving, from an in-person digital assistant, identifying information for a customer that is interacting with the in-person digital assistant on a first electronic device; identifying the customer using the identifying information received from the in-person digital assistant; receiving a state of the interaction for the interaction from the in-person digital assistant device and saving the state of the interaction; receiving, from a metaverse digital assistant executed by a second electronic device, the identifying information; identifying the customer using the identifying information; retrieving the saved state of the interaction; and communicating the saved state of the interaction to the metaverse digital assistant.

Abstract: A decision support tool that provides tools for content insights and marketing analysis to an individual user or an individual partner. In one embodiment, a networked computerized system for predicting, analyzing and evaluating scripted content includes a plurality of networked, standalone, programmed devices and a network that connects the programmed devices. Each of the programmed devices includes: an interactive subsystem component that allows for input of scripted content data by users and partners, a data storage subsystem component that stores the scripted content data input by the users and the partners, and a performance analytics component programmed to process the input scripted content data to produce a predictive or descriptive recommendation for action or for analysis to individual users or partners. The predictive recommendation for action may occur at a pre-production or pre-acquisition stage of the scripted content.

Abstract: A performance analytics system that provides tools for content insights and marketing analysis to an individual user or an individual partner. The system includes: an interactive subsystem component that allows for input of scripted content and associated data by users and partners, a data storage subsystem component that stores the scripted content data input by the users and the partners, and a performance analytics component programmed to process the input scripted content data to produce results and/or a recommendation for action to individual users or partners. The system applies similarity computations and displays the computed results pertaining to production details and a variety of features of the input scripted content.

Abstract: A decision support tool that provides tools for content insights and marketing analysis to an individual user or an individual partner. In one embodiment, a networked computerized system for predicting, analyzing and evaluating scripted content includes a plurality of networked, standalone, programmed devices and a network that connects the programmed devices. Each of the programmed devices includes: an interactive subsystem component that allows for input of scripted content data by users and partners, a data storage subsystem component that stores the scripted content data input by the users and the partners, and a performance analytics component programmed to process the input scripted content data to produce a predictive or descriptive recommendation for action or for analysis to individual users or partners. The predictive recommendation for action may occur at a pre-production or pre-acquisition stage of the scripted content.