Methods and systems of an automated answering system
In one embodiment, a computer-implemented method of a designated automated answering system (AAS) includes receiving a client-side application message to an AAS. The AAS includes a server-side entity managed by an enterprise. The client-side application message comprises a user's query for enterprise-related information. The client-side application message are parsed to identify user-identification data. A step includes determining one or more information sources relevant to the query for enterprise-related information. At least one or more information sources are queried. A step includes receiving a query information from the at least one or more information sources. The query information is relevant to the user's query. A natural-language text message that responds to the user's query is generated. The natural-language text message includes a single response.
1. A computer-implemented method of a designated automated answering system (AAS) comprising:
receiving a client-side application message to an AAS, wherein the AAS comprises a server-side entity managed by an enterprise, and wherein the client-side application message comprises a user's query for enterprise-related information;
parsing the client-side application message to identify user-identification data;
determining at least one or more information sources relevant to the query for enterprise-related information;
querying the at least one or more information sources;
receiving a query information from the at least one or more information sources, wherein the query information is relevant to the user's query;
algorithmically generating a natural-language text message that responds to the user's query, wherein the natural-language text message comprises a single response;
determining that more than one response is available to the user's query;
providing one or more queries to the user via the client-side application;
receiving one or more user responses to the one or more queries;
using the user responses to determine a most relevant response to the user; and
using the most relevant response as the single response;
wherein the at least one or more information sources comprises an enterprise application database;
wherein the AAS aggregates data across a set of users within the enterprise, partitions the data across each target enterprise system, and generates a representative data set for the enterprise application database; and
wherein the AAS determines a user's privilege level and provides access to the representative data set for the enterprise application database based on the user's privilege level.
2. The computer-implemented method of claim 1 , wherein the client-side application message comprises a text message or an instant message.
3. The computer-implemented method of claim 1 , wherein the AAS parses the client-side application to identify user context data.
4. The computer-implemented of claim 1 , wherein the use context data is used to authenticate the user based on a user identity metadata from a client-side application in a user's mobile device and a device location of the user's mobile device.
5. The computer-implemented method of claim 1 , wherein the user subscribes to a response update.
6. The computer-implemented method of claim 5 , wherein the AAS periodically detects a change to the representative data set on a scheduled or real-time basis and wherein the AAS sends an updated natural-language text message for the periodically detects a change to the representative data set.
7. A computerized system, comprising:
at least one computer processor disposed in a mobile device; and
logic executable by the at least one computer processor, the logic configured to implement a method, the method comprising:
receive a client-side application message to an AAS, wherein the AAS comprises a server-side entity managed by an enterprise, and wherein the client-side application message comprises a user's query for enterprise-related information;
parse the client-side application message to identify user-identification data;
determine at least one or more information sources relevant to the query for enterprise-related information;
query the at least one or more information sources;
receive a query information from the at least one or more information sources, wherein the query information is relevant to the user's query;
algorithmically generate a natural-language text message that responds to the user's query, wherein the natural-language text message comprises a single response;
determine that more than one response is available to the user's query;
provide one or more queries to the user via the client-side application;
receive one or more user responses to the one or more queries;
use the user responses to determine a most relevant response to the user; and
use the most relevant response as the single response;
wherein the information sources comprises an enterprise application database;
wherein the AAS aggregates data across a set of users within the enterprise, partitions the data across each target enterprise system, and generates a representative data set for the enterprise application database; and
wherein the AAS determines a user's privilege level and provides access to the representative data set for the enterprise application database based on the user's privilege level.
8. The computerized-system of claim 7 , wherein the user subscribes to a response update.
9. The computerized-system of claim 8 , wherein the AAS periodically detects a change to the representative data set on a scheduled or a real-time basis and wherein the AAS sends an updated natural-language text message for the periodically detects a change to the representative data set.