Abstract: Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which receive a request from a user's electronic client device. The server understands the intention of the user by determining an attribute associated with the request. The server further determines a sentiment value and routes the request to a call center computing system if the sentiment value satisfies a threshold; otherwise, the server determines to route the request to one of virtual assistant servers. The server selects a virtual assistant server whose subject matter best matches the attribute of the request. The server may also select a virtual assistant server based on other information, such as user's previous selection of virtual assistant servers, a time value, or a confidence value. The selected virtual assistant provides a response corresponding to the request.

Abstract: Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Abstract: Multiple digital assistants are employed to process requests within a computing environment. An initial request (e.g., voice command) may be received by a first DA. If it is determined that the first DA can handle the request based on one or more terms of the request, a communications session between a user and the first DA is established to handle the request. If it is determined that the first DA is incapable of handling the request, a second DA configured to handle the request is determined.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an crowd sourced training of an artificial intelligence system. One of the methods includes generating a training set using the customer communication information. The method includes training an artificial intelligence system using the training set. The method includes extracting at least one conversation pattern using the artificial intelligence system. The method includes the actions of instructing a chat application to process the at least one conversation pattern.

Abstract: Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Abstract: Multiple digital assistants are employed to process requests within a computing environment. An initial request (e.g., voice command) may be received by a first DA. If it is determined that the first DA can handle the request based on one or more terms of the request, a communications session between a user and the first DA is established to handle the request. If it is determined that the first DA is incapable of handling the request, a second DA configured to handle the request is determined.

Abstract: Techniques are described for cooperative delegation of request processing by digital assistants (DAs) in a computing environment. An initial request (e.g., voice command) may be received by a first DA, and a communication session may be initiated during which the first DA handles the initial request and/or subsequent requests. On receiving a request that it is unable to handle, the first DA may transfer control of the session to a second DA. The second DA may handle the request and/or subsequent requests before passing control of the session back to the first DA or to another appropriate DA. Each handling DA may provide output (e.g., voice output or otherwise) associated with their handling of the various requests during the session. In some instances, transfer of control among DAs may be mediated by a broker based on information describing the different capabilities of various DAs.

Abstract: A method for providing real-time monitoring of and advice relative to user's personal finances is provided. One or more financial goals are received from a user. Financial data associated with the user and stored in one or more financial information data sources is accessed. The accessed financial data is analyzed based upon the one or more financial goals. One or more financial recommendations are provided based on the analyzed financial data and responsive to an occurrence of a user event related to an expenditure of user's funds.