Apparatuses, methods and systems for a digital conversation management platform

• US 8,977,584 B2
• Filed: 01/25/2011
• Issued: 03/10/2015
• Est. Priority Date: 01/25/2010
• Status: Active Grant

• Current Assignee: Newvaluexchange Ltd
• Original Assignee: Newvaluexchange Global Ai, LLP
• Inventors: Jerram, Andrew Peter Nelson, McMahon, Frederick Francis
• Primary Examiner(s): Wong, Lut
• Application Number:
  US13/013,158
• Publication Number:
  US 20120221502A1
• Time in Patent Office: 1,505 Days
• Field of Search: 706/46, 705/14.54
• US Class Current: 706/46
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G10L 13/00 Speech synthesis; Text to speech systems
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: G10L 2015/088 Word spotting
• CPC Class Codes: G10L 25/27 characterised by the analysis technique
• CPC Class Codes: G10L 25/48 specially adapted for particular use
• CPC Class Codes: G11B 20/10527 Audio or video recording; Data buffering arrangements G11B20/12 - G11B20/18 take precedence
• CPC Class Codes: G11B 2020/10537 Audio or video recording

Abstract

The APPARATUSES, METHODS AND SYSTEMS FOR A DIGITAL CONVERSATION MANAGEMENT PLATFORM (“DCM-Platform”) transforms digital dialogue from consumers, client demands and, Internet search inputs via DCM-Platform components into tradable digital assets, and client needs based artificial intelligence campaign plan outputs. In one implementation, The DCM-Platform may capture and examine conversations between individuals and artificial intelligence conversation agents. These agents may be viewed as assets. One can measure the value and performance of these agents by assessing their performance and ability to generate revenue from prolonging conversations and/or ability to effect sales through conversations with individuals.

Claims

1. A digital conversation generating processor-implemented method, comprising:

instantiating a conversational artificial-intelligence agent;

identifying an individual target for conversation;

initiating a conversational dialogue between the individual target and the artificial-intelligence agent;

recording a first dialogue segment from the individual target as part of the conversational dialogue, wherein the first dialogue segment is a subportion of the conversational dialogue;

responding to the first dialogue segment from the individual target with an at least one subsequent interactive dialogue segment, wherein the at least one subsequent dialogue segment is a subportion of the conversational dialogue;

recording an interactive dialogue comprising the first dialogue segment and the at least one subsequent interactive dialogue segment;

retrieving the recorded interactive dialogue between the individual target and the artificial-intelligence agent;

allocating a value point to each subsequent interactive dialogue segment of the interactive dialogue;

creating a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue;

determining a value for the digital conversation asset at least based on the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; and

providing the created digital conversation asset associated with the determined value for exchange.

2. The method of claim 1, further comprising:

receiving an advertising client request; and

creating a dialogue agent based on the client request.

3. The method of claim 2, further comprising:

populating the dialogue agent on social media; and

implement the dialogue agent to capture interactive dialogue actions.

4. The method of claim 2, wherein the creating the dialogue agent comprises:

generating a web service;

connecting the web-service to an avatar front end; and

completing dialogue agent application.

5. The method of claim 4, wherein the instantiated conversational artificial-intelligence agent further comprises dialogue cloud with key words for search engines;

populating on a social media platform;

generating links accessible from Internet and smart phone applications; and

updating wrapper description identifications.

6. The method of claim 1, wherein the artificial-intelligence agent is an avatar on a social media platform.

7. The method of claim 1, further comprising:

registering the conversation on a virtual asset exchange platform.

8. The method of claim 1, further comprising:

registering the conversation on a financial trading platform.

9. The method of claim 1, further comprising:

providing options for a conditional logic.

10. The method of claim 1, further comprising:

initiating a search to obtain information for the conversation; and

generating a hyperlink outcome based on the search results.

11. The method of claim 10, wherein the search comprises a key word based Google search.

12. The method of claim 11, further comprising:

providing alternate questions to the individual target to obtain further information if the search fails; and

generating a dialogue line based on partial key word search and the obtained information.

13. The method of claim 1, further comprising:

capturing updated product information from the Internet; and

requesting a client provide updated product information.

14. The method of claim 1, further comprising:

initiating dialogue analytics to drive individual-agent interactions;

determining a dialogue pathway of a dialogue; and

determining dialogue parameters based on the dialogue pathway.

15. The method of claim 14, wherein the dialogue parameters comprises a number of dialogue actions in the dialogue pathway and an amount of time take for each dialogue action.

16. The method of claim 15, further comprising aggregating dialogue pathways from a plurality of individual targets.

17. The method of claim 15, further comprising determining a dollar value associated with each dialogue action.

18. The method of claim 1, wherein a portion of the created digital conversation asset associated with the determined value is provided to an ad network.

19. The method of claim 18, further comprising:

obtaining a cash stream from the recorded interactive dialogue,

said cash stream generated by the dialogue agent for providing any of a contextual advertisement, a purchase transaction option, and a subscription.

20. The method of claim 1, wherein the determined value and digital conversation asset is provided to an ad network for ad revenue compensation determination.

21. The method of claim 1, wherein a digital conversation asset comprises a text-to-speech module that converts a dialogue script input to speech.

22. The method of claim 21, wherein the dialogue script is derived from a speech-to-text module utilizing recorded speech input.

23. The method of claim 22, wherein the speech converted from the dialogue script is tagged as being a response to the recorded speech input.

24. The method of claim 1, wherein the initiating a conversational dialogue between the individual target and the artificial-intelligence agent further comprising providing a first portion of the conversational dialogue to the individual target.

25. The method of claim 1, wherein the initiating a conversational dialogue between the individual target and the artificial-intelligence agent further comprising receiving a first portion of the conversational dialogue from the individual target.

26. The method of claim 1, further comprising:

obtaining a cash stream from the recorded interactive dialogue,

said cash stream comprising a commission made by the dialogue agent for any of presenting, converting digital service to individual targets, and obtaining individualized information.

27. A digital conversation generating apparatus, comprising:

a memory;

a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to;

instantiate a conversational artificial-intelligence agent;

identify an individual target for conversation;

initiate a conversational dialogue between the individual target and the artificial-intelligence agent;

record a first dialogue segment from the individual target as part of the conversational dialogue, wherein the first dialogue segment is a subportion of the conversational dialogue;

respond to the first dialogue segment from the individual target with an at least one subsequent interactive dialogue segment, wherein the at least one subsequent dialogue segment is a subportion of the conversational dialogue;

record an interactive dialogue comprising the first dialogue segment and the at least one subsequent interactive dialogue segment;

retrieve the recorded interactive dialogue between the individual target and the artificial-intelligence agent;

allocate a value point to each subsequent interactive dialogue segment of the interactive dialogue;

create a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue;

determine a value for the digital conversation asset at least based on the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; and

provide the created digital conversation asset associated with the determined value for exchange.

28. A digital conversation generating system, comprising:

means for instantiating a conversational artificial-intelligence agent;

means to identify an individual target for conversation;

means for initiating a conversational dialogue between the individual target by and the artificial-intelligence agent;

means for recording a first dialogue segment from the individual target as part of the conversational dialogue, wherein the first dialogue segment is a subportion of the conversational dialogue;

means for responding to the a first dialogue segment from the individual target with an at least one subsequent interactive dialogue segment, wherein the at least one subsequent dialogue segment is a subportion of the conversational dialogue;

means for recording an interactive dialogue comprising the first dialogue segment and the at least one subsequent interactive dialogue segment;

means for retrieving the recorded interactive dialogue between the individual target and the artificial-intelligence agent;

means for allocating a value point to each subsequent interactive dialogue segment of the interactive dialogue;

means for creating a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue;

means for determining a value for the digital conversation asset at least based on the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; and

means for providing the created digital conversation asset associated with the determined value for exchange.

29. A digital conversation generating processor-readable non-transitory medium storing processor-issuable instructions to:

instantiate a conversational artificial-intelligence agent;

identify an individual target for conversation;

initiate a conversational dialogue between the individual target and the artificial-intelligence agent;

record a first dialogue segment from the individual target as part of the conversational dialogue, wherein the first dialogue segment is a subportion of the conversational dialogue;

respond to the first dialogue segment from the individual target with an at least one subsequent interactive dialogue segment, wherein the at least one subsequent dialogue segment is a subportion of the conversational dialogue;

record an interactive dialogue comprising the first dialogue segment and the at least one subsequent interactive dialogue segment;

retrieve the recorded interactive dialogue between the individual target and the artificial-intelligence agent;

allocate a value point to each subsequent interactive dialogue segment of the interactive dialogue;

create a digital conversation asset comprising at least the retrieved interactive dialogue associated with the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue;

determine a value for the digital conversation asset at least based on the allocated value point to each subsequent interactive dialogue segment of the interactive dialogue; and

provide the created digital conversation asset associated with the determined value for exchange.