DETAILED ACTION
Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Status of Application
This office action is in response to the most recent filings filed by applicants on 01/14/25.
No claims are amended
No claims are cancelled
No claims are added
Claims 1-21 are pending
Claim Rejections - 35 USC § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claims 1-21 is/are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., an abstract idea) without significantly more.
Step One - First, pursuant to step 1 in the January 2019 Guidance on 84 Fed. Reg. 53, the claims 14-20 is/are directed to a method which is a statutory category.
Step One - First, pursuant to step 1 in the January 2019 Guidance on 84 Fed. Reg. 53, the claims 1-13 is/are directed to a system which is a statutory category.
Step One - First, pursuant to step 1 in the January 2019 Guidance on 84 Fed. Reg. 53, the claims 21 is/are directed to a computer program product which is a statutory category.
Step 2A Prong 1: Identify the Abstract Idea(s)
The Alice framework, steps 2A-Prong One (part 1 of Mayo Test), here, the claims are analyzed to determine if the claims are directed to a judicial exception. MPEP 2106.04(a). In determining, whether the claims are directed to a judicial exception, the claims are analyzed to evaluate whether the claims recite a judicial exception (Prong One of Step 2A), and whether the claims recite additional elements that integrate the judicial exception into a practical application (Prong Two of Step 2A). See 2019 Revised Patent Subject Matter Eligibility Guidance (“PEG” 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50-57 (Jan. 7, 2019)).
Under the 2019 PEG, Step 2A under which a claim is not “directed to” a judicial exception unless the claim satisfies a two-prong inquiry. Further, particular groupings of abstract ideas are consistent with judicial precedent and are based on an extraction and synthesis of the key concepts identified by the courts as being abstract.
Independent claims 1, 14 and 21, with respect to the Step 2A, Prong One, when “taken as a whole” the claims as drafted, and given their broadest reasonable interpretation, fall within the Abstract idea grouping of “certain methods of organizing human activity” (business relations; relationships or interactions between people). For instance, independent Method Claim 14 is directed to an abstract idea, as evidenced by claim limitations “fetching input data and innovation data to validate the input data and the innovation data to generate a validated data, wherein the innovation data represents data related to an innovation process of a project development lifecycle; determining a quality score for the validated data based on a weighted score of one or more predefined parameters; generating a prompt data from the validated data; enhancing the prompt data based on the quality score employing enhancement rules to generate an enhanced prompt data; assigning an enhanced quality score to the enhanced prompt data to generate a modified prompt data; and generating features representative of refined innovation data for generating a code for deployment based on the modified prompt data.”
In the originally submitted specification, [0003]: Typically, enterprises often hold vast amounts of valuable innovation-related data, including employee-generated questions, ideas, and solutions. However, this data often remains untapped due to limitations in traditional search and retrieval methods. Retrieval methods are typically time-consuming, inefficient, and lack the ability to understand nuances of human language and context. Also, existing systems often struggle to identify patterns, trends, and hidden gems within data that makes it difficult for enterprises to gain valuable insights that leads to strategic decision-making and resource allocation during project development lifecycle. Further, collaboration is crucial for effective innovation. However, traditional workflows hinder collaboration by making it difficult for individuals and teams to efficiently share knowledge and refine ideas iteratively. [0004]: Further, in a project development lifecycle, challenges in reusing innovative ideas persist due to fragmented repositories, inconsistent documentation, and difficulties in identifying past solutions. Also, a crucial need for maintaining quality and security adds another layer of complexity, as poorly documented or outdated components introduce vulnerabilities. Overcoming these challenges require a strong focus on knowledge management, effective communication, and continuous improvement to unlock true potential of reusability of ideas in project development lifecycles.
These claim limitations belong to the grouping of “certain methods of organizing human activity” because the claims are related to knowledge management, effective communication, and continuous improvement of idea in project development lifecycles for one or more human entities involves organizing human activity based on the description of “certain methods of organizing human activity” provided by the courts. The court have used the phrase “Certain methods of organizing human activity” as —fundamental economic principles or practices (including hedging, insurance, mitigating risk); commercial or legal interactions (including agreements in the form of contracts; legal obligations; advertising, marketing or sales activities or behaviors; business relations); managing personal behavior or relationships or interactions between people (including social activities, teaching, and following rules or instructions).
Independent Claims 1 and 21 is/are recite substantially similar limitations to independent claim 14 and is/are rejected under 2A for similar reasons to claim 14 above.
Step 2A Prong 2: Additional Elements That Integrate the Judicial Exception into a Practical Application
With respect to the Step 2A, Prong Two - This judicial exception is not integrated into a practical application. In particular, the claim recites additional elements: “A method for iterative refinement of innovation data, the method comprising steps of:, A system for iterative refinement of innovation data, the system comprising: employing an NLP model, A system for iterative refinement of innovation data, the system comprising: a memory storing program instructions; a processor executing program instructions stored in the memory and configured to execute an innovation data refinement engine to: A computer program product comprising: a non-transitory computer-readable medium having computer-readable program code stored thereon, the computer- readable program code comprising instructions that, when executed by a processor, cause the processor to” at a high level of generality such that it amounts to no more than: adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea, as discussed in MPEP 2106.05(f). Accordingly, these additional elements do not integrate the abstract idea into a practical application because they do not impose any meaningful limits on practicing the abstract idea. The claims are directed to an abstract idea with no significantly more elements.
Thus, the additional elements do not integrate the abstract idea into practical application because they do not impose any meaningful limitations on practicing the abstract idea. As a result, claims 1, 9 and 14 do not provide any specifics regarding the integration into a practical application when recited in a claim with a judicial exception. See MPEP 2106.05(f).
The additional elements of a “employing an NLP model”. This language merely requires execution of an algorithm that can be performed by a generic computer component and provides no detail regarding the operation of that algorithm. As such, the claim requirement amounts to mere instructions to implement the abstract idea on a computer, and, therefore, is not sufficient to make the claim patent eligible. See Alice, 573 U.S. at 226 (determining that the claim limitations “data processing system,” “communications controller,” and “data storage unit” were generic computer components that amounted to mere instructions to implement the abstract idea on a computer); October 2019 Guidance Update at 11–12 (recitation of generic computer limitations for implementing the abstract idea “would not be sufficient to demonstrate integration of a judicial exception into a practical application”). Such a generic recitation of “employing an NLP model” is insufficient to show a practical application of the recited abstract idea. All of these additional elements are not significantly more because these, again, are merely the software and/or hardware components used to implement the abstract idea on a general-purpose computer.
Similarly dependent claims 2-13 and 15-20 are also directed to an abstract idea under 2A, first and second prong. In the present application, all of the dependent claims have been evaluated and it was found that they all inherit the deficiencies set forth with respect to the independent claims. For instance, dependent claims 2 recite “wherein the innovation data refinement engine fetches the input data from an input data unit, the input data includes forecasted values based on one or more benefits foreseen upon implementation of an idea, pre-defined workflow, idea descriptions and problem statements, chat messages, an opportunity type, description of business problems, current scenarios, one or more issues faced by end-users, IT teams, clients, data related to hackathons, and crowdsourced ideas where multiple users share ideas” and dependent claims 3 recite “wherein the innovation data refinement engine fetches the innovation data from an innovation data unit, the innovation data includes data relating to historical projects and engagements related data, data related to past and ongoing innovation initiatives, and project details, outcomes, challenges, and other relevant information”. Here, these claims offer further descriptive limitations of elements found in the independent claims which are similar to the abstract idea noted in the independent claim above.
Dependent claims 6 recites “wherein the validation unit is configured to validate the input data and innovation based on pre-defined grammar rules by employing the NLP model stored in an NLP unit of the innovation data refinement engine, and wherein the validation unit is configured to : block one or more changes to a structure of the input data and innovation data; block unsafe Hypertext Markup Language (HTML) or JavaScript content in the input data and the innovation data; block the input data and the innovation data that attempt to access or modify system data or configuration; block the input data and the innovation data that attempt to modify the given system prompt and other harmful data in the input data and innovation data; block the input data and the innovation data which are unrelated to technology and language standards; prohibit jailbreak of large language models; and prohibit malicious code, uniform resource locator, link or website cyber security threat in the input data and the innovation data.” In this claim, “employing the NLP model”, “in an NLP unit”, “Hypertext Markup Language (HTML) or JavaScript content” are an additional element, but it is still being recited such that it amounts to no more than: adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea, as discussed in MPEP 2106.05(f). As a result, Examiner asserts that dependent claims, such as dependent claims 2-13 and 15-20 are also directed to the abstract idea identified above.
Step 2B: Determine Whether Any Element, Or Combination, Amount to “Significantly More” Than the Abstract Idea Itself
With respect to Step 2B, the claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception. First, the invention lacks improvements to another technology or technical field [see Alice at 2351; 2019 IEG at 55], and lacks meaningful limitations beyond generally linking the use of an abstract idea to a particular technological environment [Alice at 2360, 2019 IEG at 55], and fails to effect a transformation or reduction of a particular article to a different state or thing [2019 IEG, 55]. For the reasons articulated above, the claims recite an abstract idea that is limited to a particular field of endeavor (MPEP § 2106.05(h)) and recites insignificant extra-solution activity (MPEP § 2106.05(g)). By the factors and rationale provided above with respect to these MPEP sections, the additional elements of the claims that fail to integrate the abstract idea into a practical application also fail to amount to “significantly more” than the abstract idea.
As discussed above with respect to integration of the abstract idea into a practical application, the additional element(s) of “A method for iterative refinement of innovation data, the method comprising steps of:, A system for iterative refinement of innovation data, the system comprising: employing an NLP model, A system for iterative refinement of innovation data, the system comprising: a memory storing program instructions; a processor executing program instructions stored in the memory and configured to execute an innovation data refinement engine to: A computer program product comprising: a non-transitory computer-readable medium having computer-readable program code stored thereon, the computer- readable program code comprising instructions that, when executed by a processor, cause the processor to:” are insufficient to amount to significantly more. Applicants originally submitted specification describes the computer components above at least in page/ paragraph [0025]-[0030], [0032]-[0038]. In light of the specification, it should be noted that the components discussed above did not meaningfully limit the abstract idea because they merely linked the use of the abstract idea to a particular technological environment (i.e., "implementation via computers"). In light of the specification, it should be noted that the claim limitations discussed above are merely instructions to implement the abstract idea on a computer. See MPEP 2106.05(f). (See MPEP 2106.05(f) - Mere Instructions to Apply an Exception - “Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible.” Alice Corp., 134 S. Ct. at 235). Mere instructions to apply an exception using computer component cannot provide an inventive concept.). The additional elements amount to no more than a recitation of generic computer elements utilized to perform generic computer functions, such as performing repetitive calculations, Bancorp Services v. Sun Life, 687 F.3d 1266, 1278, 103 USPQ2d 1425, 1433 (Fed. Cir. 2012) ("The computer required by some of Bancorp’s claims is employed only for its most basic function, the performance of repetitive calculations, and as such does not impose meaningful limits on the scope of those claims."); and storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93; see MPEP 2106.05(d)(II).
Therefore, the claims at issue do not require any nonconventional computer, network, or display components, or even a “non-conventional and non-generic arrangement of know, conventional pieces,” but merely call for performance of the claimed on a set of generic computer components” and display devices. All of these additional elements are significantly more because these, again, are merely the software and/or hardware components used to implement the abstract idea on a general-purpose computer. Generically recited computer elements do not add a meaningful limitation to the abstract idea because the Alice decision noted that generic structures that merely apply abstract ideas are not significantly more than the abstract ideas.
The computing elements with a computing device is recited at high level of generality (e.g. a generic device performing a generic computer function of processing data). Thus, this step is no more than mere instructions to apply the exception on a generic computer. In addition, using a processor to process data has been well- understood routing, conventional activity in the industry for many years. Generic computer features, such as system or storage, do not amount to significantly more than the abstract idea. These limitations merely describe implementation for the invention using elements of a general-purpose system, which is not sufficient to amount to significantly more. See, e.g., Alice Corp., 134 S. Ct. 2347, 110 USPQ2d 1976; Versata Dev. Group, Inc. v. SAP Am. Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1791 (Federal Circuit 2015).
The claim fails to recite any improvements to another technology or technical field, improvements to the functioning of the computer itself, use of a particular machine, effecting a transformation or reduction of a particular article to a different state or thing, adding unconventional steps that confine the claim to a particular useful application, and/or meaningful limitations beyond generally linking the use of an abstract idea to a particular environment. See 84 Fed. Reg. 55. Viewed individually or as a whole, these additional claim element(s) do not provide meaningful limitation(s) to transform the abstract idea into a patent eligible application of the abstract idea such that the claim(s) amounts to significantly more than the abstract idea itself.
Independent Claims 1 and 21 is/are recite substantially similar limitations to independent claim 14 and is/are rejected under 2B for similar reasons to claim 14 above.
Further, it should be noted that additional elements of the claimed invention such as claim limitations when considered individually or as an ordered combination along with the other limitations discussed above in method claim 14 also do not meaningfully limit the abstract idea because they merely linked the use of the abstract idea to a particular technological environment (i.e., "implementation via computers"). In light of the specification, it should be noted that the claim limitations discussed above are merely instructions to implement the abstract idea on a computer. See MPEP 2106.
Similarly, dependent claims 2-13 and 15-20 also do not include limitations amounting to significantly more than the abstract idea under the second prong or 2B of the Alice framework. In the present application, all of the dependent claims have been evaluated and it was found that they all inherit the deficiencies set forth with respect to the independent claims. Further, it should be noted that the dependent claims do not include limitations that overcome the stated assertions. Here, the dependent claims recite features/limitations that include computer components identified above in part 2B of analysis of independent claims 1, 14 and 21. As a result, Examiner asserts that dependent claims, such as dependent claims 2-13 and 15-20 are also directed to the abstract idea identified above.
Further, Examiner notes that the addition limitations, when considered as an ordered combination, add nothing that is not already present when looking at the additional elements individually.
For more information on 101 rejections, see MPEP 2106, January 2019 Guidance at https://www.govinfo.gov/content/pkg/FR-2019-01 -07/pdf/2018-28282.pdf
Claim Rejections - 35 USC § 103
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
Claim(s) 1-21 is/are rejected under 35 U.S.C. 103 as being unpatentable over Cronin et al. (US 2020/0065924 A1), and further in view of Morris III (US 2014/0214691 A1).
As per claims 1, 14 and 21: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
A system for iterative refinement of innovation data, the system comprising (Cronin shows: [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0018] Virtual assistant device 101 may include a processor and interface(s) such as microphone 102, speaker 103, and light 104. In addition, virtual assistant device may include a memory 105 user trigger device 106, database 107, and wake up module 108. The processor may be configured to decode and execute any instructions (e.g., associated with application or modules), whether stored locally or received from one or more other electronic devices or server(s). The processor may include one or more general-purpose processors (e.g., INTEL® or Advanced Micro Devices® (AMD) microprocessors) and/or one or more special purpose processors (e.g., digital signal processors or Xilinx® System On Chip (SOC) Field Programmable Gate Array (FPGA) processor). The processor may be configured to execute one or more computer-readable program instructions, such as program instructions to carry out any of the functions described in this description.):
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
a memory storing program instructions (Cronin shows: [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0018] Virtual assistant device 101 may include a processor and interface(s) such as microphone 102, speaker 103, and light 104. In addition, virtual assistant device may include a memory 105 user trigger device 106, database 107, and wake up module 108. The processor may be configured to decode and execute any instructions (e.g., associated with application or modules), whether stored locally or received from one or more other electronic devices or server(s). The processor may include one or more general-purpose processors (e.g., INTEL® or Advanced Micro Devices® (AMD) microprocessors) and/or one or more special purpose processors (e.g., digital signal processors or Xilinx® System On Chip (SOC) Field Programmable Gate Array (FPGA) processor). The processor may be configured to execute one or more computer-readable program instructions, such as program instructions to carry out any of the functions described in this description.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
a processor executing program instructions stored in the memory and configured to execute an innovation data refinement engine to (Cronin shows: [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0018] Virtual assistant device 101 may include a processor and interface(s) such as microphone 102, speaker 103, and light 104. In addition, virtual assistant device may include a memory 105 user trigger device 106, database 107, and wake up module 108. The processor may be configured to decode and execute any instructions (e.g., associated with application or modules), whether stored locally or received from one or more other electronic devices or server(s). The processor may include one or more general-purpose processors (e.g., INTEL® or Advanced Micro Devices® (AMD) microprocessors) and/or one or more special purpose processors (e.g., digital signal processors or Xilinx® System On Chip (SOC) Field Programmable Gate Array (FPGA) processor). The processor may be configured to execute one or more computer-readable program instructions, such as program instructions to carry out any of the functions described in this description.):
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
A method for iterative refinement of innovation data, the method comprising steps of (Cronin shows: [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0018] Virtual assistant device 101 may include a processor and interface(s) such as microphone 102, speaker 103, and light 104. In addition, virtual assistant device may include a memory 105 user trigger device 106, database 107, and wake up module 108. The processor may be configured to decode and execute any instructions (e.g., associated with application or modules), whether stored locally or received from one or more other electronic devices or server(s). The processor may include one or more general-purpose processors (e.g., INTEL® or Advanced Micro Devices® (AMD) microprocessors) and/or one or more special purpose processors (e.g., digital signal processors or Xilinx® System On Chip (SOC) Field Programmable Gate Array (FPGA) processor). The processor may be configured to execute one or more computer-readable program instructions, such as program instructions to carry out any of the functions described in this description.):
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
A computer program product comprising: a non-transitory computer-readable medium having computer-readable program code stored thereon, the computer- readable program code comprising instructions that, when executed by a processor, cause the processor to (Cronin shows: [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0018] Virtual assistant device 101 may include a processor and interface(s) such as microphone 102, speaker 103, and light 104. In addition, virtual assistant device may include a memory 105 user trigger device 106, database 107, and wake up module 108. The processor may be configured to decode and execute any instructions (e.g., associated with application or modules), whether stored locally or received from one or more other electronic devices or server(s). The processor may include one or more general-purpose processors (e.g., INTEL® or Advanced Micro Devices® (AMD) microprocessors) and/or one or more special purpose processors (e.g., digital signal processors or Xilinx® System On Chip (SOC) Field Programmable Gate Array (FPGA) processor). The processor may be configured to execute one or more computer-readable program instructions, such as program instructions to carry out any of the functions described in this description.):
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
fetch input data and innovation data to validate the input data and the innovation data to generate a validated data, wherein the innovation data represents data related to an innovation process of a project development lifecycle (Cronin shows: [0006] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0007] Further embodiments may also provide for landscape mapping for a given idea in real-time (e.g., during a brainstorming session). Such landscape mapping may include parsing one or more keywords associated with the idea into categories, which may then be used in conjunction with contextual data to prepare a structured map. For example, an idea—and its associated keywords—may be associated with a variety of elements and sub-elements. A landscape map may illustrate such elements and sub-elements with contextual data, which may be grouped into categories. Such groupings may further be indicative of different levels of potential for further innovation. Such a landscape may further be sortable, actionable, and updateable.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
determine a quality score for the validated data based on a weighted score of one or more predefined parameters (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
generate a prompt data from the validated data using employing an NLP model (Cronin shows [0067] In step 605, landscaping module 134 may compare the attributes of the idea to the landscape category definitions, which may result in indicating that the recorded idea is to be assigned to one of the categories in the landscape. Such indication may be based on similarities, for example, and may be discerned with the use of artificial intelligence and natural language processing systems.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
enhance the prompt data based on the quality score employing enhancement rules to generate an enhanced prompt data (Cronin shows: [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty. [0039] The AI patent network 124 may store modules (e.g., AI patent search module 125) and databases (e.g., patent database 126 and search results database 127) for running artificial intelligence-driven patent searches, scoring the results, and returning the score to the virtual assistant network 109 via the AI patent API 128. [0040] The AI patent search module 125 may be executable by a processor to receive a transcribed idea (e.g., via the novelty module 118 on the virtual assistant network 109). Using artificial intelligence (AI) to continually refine searches, AI patent search module 125 may perform searches based on the transcribed idea. In particular, the AI patent search module 125 may generate queries for specific database (e.g., searches for patent data provided by patent databases 126). In addition, once query responses are returned, AI patent search module 125 may analyze the documents referenced in the responses for overlap to the transcribed idea. A score may be assigned based on a degree of similarity and dissimilarity. [0042] The search results database 127 may store the queries and query responses processed by AI patent search module 125, including the relevancy or similarity score. The patent API may be inclusive of any set of subroutine definitions, communication protocols, and tools for building software, and providing communication protocols to a variety of technical and patent databases 126 accessible on the Internet, cloud, or other remote servers.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
assign an enhanced quality score to the enhanced prompt data to generate a modified prompt data
(Reference Cronin shows “assign an …. quality score to the enhanced prompt data to generate a modified prompt data” [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty. [0039] The AI patent network 124 may store modules (e.g., AI patent search module 125) and databases (e.g., patent database 126 and search results database 127) for running artificial intelligence-driven patent searches, scoring the results, and returning the score to the virtual assistant network 109 via the AI patent API 128. [0040] The AI patent search module 125 may be executable by a processor to receive a transcribed idea (e.g., via the novelty module 118 on the virtual assistant network 109). Using artificial intelligence (AI) to continually refine searches, AI patent search module 125 may perform searches based on the transcribed idea. In particular, the AI patent search module 125 may generate queries for specific database (e.g., searches for patent data provided by patent databases 126). In addition, once query responses are returned, AI patent search module 125 may analyze the documents referenced in the responses for overlap to the transcribed idea. A score may be assigned based on a degree of similarity and dissimilarity.
However, Cronin does not explicitly show “enhanced”. Morris shows the above limitation at least in [0050] Determining the definitive values of these individual variables is not as important as their impact on value and is often non-linear and depends heavily on the content, industry, situation, etc. The system may provide sliders to allow users to increase and decrease these values, and immediately see, in real-time, the general effect on value they may have. The workflow and portfolio manager may dynamically recalculate the values for individual projects and projects collected as portfolios based on data input by innovation leaders concerning any of the algorithm variables, which may occur as a result of strategically significant changes in the external, market environment or due to internal changes in the organization. Such recalculation may assist leaders and champions in making management decisions and investment decisions to thereby improve the likelihood of success for innovation projects that are otherwise more uncertain and more difficult to manage.
Reference Cronin and Reference Morris are analogous prior art to the claimed invention because the references generally relate to field of managing idea assessments. Further, said references are part of the same classification, i.e., G06Q. Lastly, said references are filed before the effective filing date of the instant application; hence, said references are analogous prior-art references.
It would have been obvious to one of ordinary skill in the art before the effective filing date of this application for AIA to provide the teachings of Reference Morris, particularly the enhancing or increasing of the quality scoring of the idea ([0050]), in the disclosure of Reference Cronin, particularly in the quality scoring process in [0015], [0034], in order to provide for a system that workflow and portfolio manager may dynamically recalculate the values for individual projects and projects collected as portfolios based on data input by innovation leaders concerning any of the algorithm variables, which may occur as a result of strategically significant changes in the external, market environment or due to internal changes in the organization. Such recalculation may assist leaders and champions in making management decisions and investment decisions to thereby improve the likelihood of success for innovation projects that are otherwise more uncertain and more difficult to manage as taught by Reference Morris (see at least in [0050]), where upon the execution of the method and system of Reference Morris for managers in organizations to guide and monitor the innovation process and to manage innovation projects (Abstract) so that the process of managing idea assessments can be made more efficient and effective.
Further, the claimed invention is merely a combination of old elements in a similar managing idea assessments field of endeavor, and in the combination each element merely would have performed the same function as it did separately, and one of ordinary skill in the art would have recognized that, given the existing technical ability to combine the elements as evidenced by Reference Cronin in view of Reference Morris, the results of the combination were predictable (MPEP 2143 A); and
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
generate features representative of refined innovation data for generating a code for deployment based on the modified prompt data (Reference Cronin shows: [0072] Embodiments of the present disclosure may be provided as a computer program product, which may include a computer-readable medium tangibly embodying thereon instructions, which may be used to program a computer (or other electronic devices) to perform a process. The computer-readable medium may include, but is not limited to, fixed (hard) drives, magnetic tape, floppy diskettes, optical disks, Compact Disc Read-Only Memories (CD-ROMs), and magneto-optical disks, semiconductor memories, such as ROMs, Random Access Memories (RAMs), Programmable Read-Only Memories (PROMs), Erasable PROMs (EPROMs), Electrically Erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other type of media/machine-readable medium suitable for storing electronic instructions (e.g., computer programming code, such as software or firmware). Moreover, embodiments of the present disclosure may also be downloaded as one or more computer program products, wherein the program may be transferred from a remote computer to a requesting computer by way of data signals embodied in a carrier wave or other propagation medium via a communication link (e.g., a modem or network connection)).
As per claims 2 and 15: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine fetches the input data from an input data unit, the input data includes forecasted values based on one or more benefits foreseen upon implementation of an idea, pre-defined workflow, idea descriptions and problem statements, chat messages, an opportunity type, description of business problems, current scenarios, one or more issues faced by end-users, IT teams, clients, data related to hackathons, and crowdsourced ideas where multiple users share ideas.
Regarding the claims above, Cronin does not explicitly show the above. Morris shows the above limitations in [0044] Additionally, the administrative server 102 may also include workflow database 102c. The workflow database 102c may include information regarding innovation projects running in the organization. The data may include information and is not restricted to idea related to the project, important dates, resources, reporting manager and the like. The workflow database 102c may be discussed in detail in conjunction with FIG. 4. [0045] As shown in FIG. 1, the system 100 may reside on the administrative server 102 along with necessary databases, and may also be communicated to a user's device 104 for installing and using the system 100 in the user's organization. The system 100 may include an ideation collaboration module 100a, a personal history and social contacts module 100b, a workflow and portfolio manager 100c, an innovation optimizer 100d, a weighted factor voting engine 100e and dashboards 100f. Further, the system 100 may comprise portlet services 106, where the portlet services 106 may include and are not restricted to user info, mail, resources, messaging, persistence and other kind of portlet services. Furthermore, the system 100 may comprise a web portal engine 108, where the web portal engine 108 may help a user using the user's device 104 in getting connected to the system 100. Hence, the user's device 104 may interact with the system 100 through a web portal engine, where the web portal engine 108 may include web services, languages, and servlets. [0048] Furthermore, the system 100 may also include a workflow and portfolio manager 100c. The workflow and portfolio manager 100c may help in overseeing innovation projects running in the organization. This workflow and portfolio manager 100c may help in keeping a check on the details of an innovation project, for example the workflow and portfolio manager 100c may keep a check on the resources used and to be used in the project, may record all the important dates of the project, such as starting and ending dates, may also keep a record of the details of employees involved in the project. Further, the workflow and portfolio manager 100c may set a portfolio type, where a control flow for a project may be decided. [0055] As mentioned above, the system 100 may comprise portlet services 106. The portlet services 106 may include and are not restricted to user info, mail, messaging, resources, persistence and other. The user info may include information of the user using the system 100, such as the user's name, designation, department, social network and the like. Further, the portlet services 106 may include mail and messaging to provide mailing and messaging services to the users. Other portlet services may include and are not restricted to blogs, forums, chat, video conferencing and the like. [0065] Further, the strategy system 502 may comprise tools that may assist or enable users to think through the complex issues pertinent to an organization's strategy for the future. It may consist of a scenario planning module 502a, a strategy design module 502b, as well as specific metrics and tools defined for the strategy system 502. Further, the strategy system 502 may include specific roles definitions for Leaders, Champions, and Geniuses, which may be further linked to the Culture system 508 where information on Leaders, Champions, and Geniuses may be aggregated. [0067] The scenario planning module may consist of tools that enable users to consider a wide range of possible future scenarios, which may include an inventory of factors such as the rate of change, best and worst-case scenarios of future conditions, possible initiatives undertaken by competitors, all of which may be useful in creating a clearer picture of the future and in determining where the organization should direct its innovation investments.
It would have been obvious to one of ordinary skill in the art before the effective filing date of this application for AIA to provide the teachings of Reference Morris, particularly the enhancing or increasing of the quality scoring of the idea ([0050]), in the disclosure of Reference Cronin, particularly in the quality scoring process in [0015], [0034], in order to provide for a system that workflow and portfolio manager may dynamically recalculate the values for individual projects and projects collected as portfolios based on data input by innovation leaders concerning any of the algorithm variables, which may occur as a result of strategically significant changes in the external, market environment or due to internal changes in the organization. Such recalculation may assist leaders and champions in making management decisions and investment decisions to thereby improve the likelihood of success for innovation projects that are otherwise more uncertain and more difficult to manage as taught by Reference Morris (see at least in [0050]), where upon the execution of the method and system of Reference Morris for managers in organizations to guide and monitor the innovation process and to manage innovation projects (Abstract) so that the process of managing idea assessments can be made more efficient and effective.
Further, the claimed invention is merely a combination of old elements in a similar managing idea assessments field of endeavor, and in the combination each element merely would have performed the same function as it did separately, and one of ordinary skill in the art would have recognized that, given the existing technical ability to combine the elements as evidenced by Reference Cronin in view of Reference Morris, the results of the combination were predictable (MPEP 2143 A).
As per claims 3 and 16: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine fetches the innovation data from an innovation data unit, the innovation data includes data relating to historical projects and engagements related data, data related to past and ongoing innovation initiatives, and project details, outcomes, challenges, and other relevant information.
Regarding the claims above, Cronin does not explicitly show the above.
Morris shows the above limitations in [0045] As shown in FIG. 1, the system 100 may reside on the administrative server 102 along with necessary databases, and may also be communicated to a user's device 104 for installing and using the system 100 in the user's organization. The system 100 may include an ideation collaboration module 100a, a personal history and social contacts module 100b, a workflow and portfolio manager 100c, an innovation optimizer 100d, a weighted factor voting engine 100e and dashboards 100f. Further, the system 100 may comprise portlet services 106, where the portlet services 106 may include and are not restricted to user info, mail, resources, messaging, persistence and other kind of portlet services. Furthermore, the system 100 may comprise a web portal engine 108, where the web portal engine 108 may help a user using the user's device 104 in getting connected to the system 100. Hence, the user's device 104 may interact with the system 100 through a web portal engine, where the web portal engine 108 may include web services, languages, and servlets. [0047] Further, the system 100 may include personal history and social contacts module 100b. Since innovation has always required those with different skills and expertise to come together and create, therefore, innovation has always been a social process. Globalization ensures expertise exists in every corner of the world. Therefore, the personal history and social contacts module 100b may help create valid assessments of proposed ideas by taking into account the past performance of the person or persons proposing an idea, the past performance of those voting for an idea, and the quality of the network of contacts of both, where the assessment (A) is a function of the past idea success (P.sub.i), the past voting success (P.sub.v), and the quality of prior voting opinions (Q.sub.p), which may be shown as A=f(P.sub.i, P.sub.v, Q.sub.p). The personal history and social contacts module 100b may fetch employee details from the people database 102b. [0060] The people data model may define the ID/name of the person, role in the company, user's contribution, social network graph elements, track records of the user, shortcut to the user's idea list, endorsements and other information related to the users in the organization. The personal history and social contacts module 100b of the system 100 may fetch details from the people database 102b, where the data is organized in people data model 300 structure. [0061] FIG. 4 illustrates a data model of a database residing on a server, such as a workflow data model 400 of the workflow database 102c, in accordance with an embodiment of the invention. The workflow data model 400 may include information related to the workflow of the innovation projects running in the organization. The system 100 may fetch information related to the projects from the workflow data model 400 to keep a check on the ongoing projects. The workflow data model may include data and is not restricted to idea, portfolio type, tasks, resources, due dates, estimation history, optimizer, escalation policy, resource leveling, alert manager, DirtyBit for Sync, and the like.
It would have been obvious to one of ordinary skill in the art before the effective filing date of this application for AIA to provide the teachings of Reference Morris, particularly the enhancing or increasing of the quality scoring of the idea ([0050]), in the disclosure of Reference Cronin, particularly in the quality scoring process in [0015], [0034], in order to provide for a system that workflow and portfolio manager may dynamically recalculate the values for individual projects and projects collected as portfolios based on data input by innovation leaders concerning any of the algorithm variables, which may occur as a result of strategically significant changes in the external, market environment or due to internal changes in the organization. Such recalculation may assist leaders and champions in making management decisions and investment decisions to thereby improve the likelihood of success for innovation projects that are otherwise more uncertain and more difficult to manage as taught by Reference Morris (see at least in [0050]), where upon the execution of the method and system of Reference Morris for managers in organizations to guide and monitor the innovation process and to manage innovation projects (Abstract) so that the process of managing idea assessments can be made more efficient and effective.
Further, the claimed invention is merely a combination of old elements in a similar managing idea assessments field of endeavor, and in the combination each element merely would have performed the same function as it did separately, and one of ordinary skill in the art would have recognized that, given the existing technical ability to combine the elements as evidenced by Reference Cronin in view of Reference Morris, the results of the combination were predictable (MPEP 2143 A).
As per claim 4: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine comprises a validation unit configured to validate the input data and the innovation data based on one or more pre-defined grammar rules employing the NLP model in an NLP unit of the innovation data refinement engine (Cronin shows: [0067] In step 605, landscaping module 134 may compare the attributes of the idea to the landscape category definitions, which may result in indicating that the recorded idea is to be assigned to one of the categories in the landscape. Such indication may be based on similarities, for example, and may be discerned with the use of artificial intelligence and natural language processing systems.).
As per claim 5: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the system comprises a user interface for rendering previous ideas entered by one or more users against an identified opportunity, and wherein the validation unit accesses the tagged input data and innovation data in the reusable asset for carrying out the validation.
Regarding the claims above, Cronin does not explicitly show the above.
Morris shows the above limitations in [0045] As shown in FIG. 1, the system 100 may reside on the administrative server 102 along with necessary databases, and may also be communicated to a user's device 104 for installing and using the system 100 in the user's organization. The system 100 may include an ideation collaboration module 100a, a personal history and social contacts module 100b, a workflow and portfolio manager 100c, an innovation optimizer 100d, a weighted factor voting engine 100e and dashboards 100f. Further, the system 100 may comprise portlet services 106, where the portlet services 106 may include and are not restricted to user info, mail, resources, messaging, persistence and other kind of portlet services. Furthermore, the system 100 may comprise a web portal engine 108, where the web portal engine 108 may help a user using the user's device 104 in getting connected to the system 100. Hence, the user's device 104 may interact with the system 100 through a web portal engine, where the web portal engine 108 may include web services, languages, and servlets. [0047] Further, the system 100 may include personal history and social contacts module 100b. Since innovation has always required those with different skills and expertise to come together and create, therefore, innovation has always been a social process. Globalization ensures expertise exists in every corner of the world. Therefore, the personal history and social contacts module 100b may help create valid assessments of proposed ideas by taking into account the past performance of the person or persons proposing an idea, the past performance of those voting for an idea, and the quality of the network of contacts of both, where the assessment (A) is a function of the past idea success (P.sub.i), the past voting success (P.sub.v), and the quality of prior voting opinions (Q.sub.p), which may be shown as A=f(P.sub.i, P.sub.v, Q.sub.p). The personal history and social contacts module 100b may fetch employee details from the people database 102b. [0060] The people data model may define the ID/name of the person, role in the company, user's contribution, social network graph elements, track records of the user, shortcut to the user's idea list, endorsements and other information related to the users in the organization. The personal history and social contacts module 100b of the system 100 may fetch details from the people database 102b, where the data is organized in people data model 300 structure. [0061] FIG. 4 illustrates a data model of a database residing on a server, such as a workflow data model 400 of the workflow database 102c, in accordance with an embodiment of the invention. The workflow data model 400 may include information related to the workflow of the innovation projects running in the organization. The system 100 may fetch information related to the projects from the workflow data model 400 to keep a check on the ongoing projects. The workflow data model may include data and is not restricted to idea, portfolio type, tasks, resources, due dates, estimation history, optimizer, escalation policy, resource leveling, alert manager, DirtyBit for Sync, and the like.
It would have been obvious to one of ordinary skill in the art before the effective filing date of this application for AIA to provide the teachings of Reference Morris, particularly the enhancing or increasing of the quality scoring of the idea ([0050]), in the disclosure of Reference Cronin, particularly in the quality scoring process in [0015], [0034], in order to provide for a system that workflow and portfolio manager may dynamically recalculate the values for individual projects and projects collected as portfolios based on data input by innovation leaders concerning any of the algorithm variables, which may occur as a result of strategically significant changes in the external, market environment or due to internal changes in the organization. Such recalculation may assist leaders and champions in making management decisions and investment decisions to thereby improve the likelihood of success for innovation projects that are otherwise more uncertain and more difficult to manage as taught by Reference Morris (see at least in [0050]), where upon the execution of the method and system of Reference Morris for managers in organizations to guide and monitor the innovation process and to manage innovation projects (Abstract) so that the process of managing idea assessments can be made more efficient and effective.
Further, the claimed invention is merely a combination of old elements in a similar managing idea assessments field of endeavor, and in the combination each element merely would have performed the same function as it did separately, and one of ordinary skill in the art would have recognized that, given the existing technical ability to combine the elements as evidenced by Reference Cronin in view of Reference Morris, the results of the combination were predictable (MPEP 2143 A).
As per claims 6 and 17: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the validation unit is configured to validate the input data and innovation based on pre-defined grammar rules by employing the NLP model stored in an NLP unit of the innovation data refinement engine, and wherein the validation unit is configured to: block one or more changes to a structure of the input data and innovation data (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
block unsafe Hypertext Markup Language (HTML) or JavaScript content in the input data and the innovation data (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
block the input data and the innovation data that attempt to access or modify system data or configuration (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
block the input data and the innovation data that attempt to modify the given system prompt and other harmful data in the input data and innovation data (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);;
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
block the input data and the innovation data which are unrelated to technology and language standards (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);;
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
prohibit jailbreak of large language models (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);; and
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
prohibit malicious code, uniform resource locator, link or website cyber security threat in the input data and the innovation data (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);.
As per claim 7: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine comprises a score generation unit configured to determine the quality score by dividing the total weighted score of the predefined parameters by a total number of second nested parameter and first nested parameters for which no second nested parameters exist (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.).
As per claims 8 and 18: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the one or more predefined parameters represent one or more attributes for assessing potential and impact of innovation, and wherein the predefined parameters are associated with one or more first nested parameters, the first nested parameters represent one or more specific characteristics associated with the pre-defined parameters, and wherein the one or more first nested parameters are associated with one or more second nested parameters, the second nested parameters represent one or more specific categories associated with the first nested parameter (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.).
As per claims 9 and 19: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the score generation unit assigns the quality score to the validated data based on an evaluation matrix, wherein the evaluation matrix is obtained based on values obtained for the predefined parameters, the first nested parameters and the second nested parameters (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);.
As per claims 10 and 20: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine comprises a data enhancement unit configured to:
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
generate the prompt data associated with the validation data employing the NLP model stored in an NLP unit of the innovation data refinement engine (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);;
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
generate the enhanced prompt data based on the quality score employing the enhancement rules to generate the enhanced prompt data, wherein the enhancement rules are generated basis a determination of a context of the validated data in terms of one or more features including, problem-statement, title, idea description, and enhancing the prompt data by reconstructing the prompt data by classifying the validated data in terms of one or more enhancement parameters including persona, task, input elements, generative, directive along with the context (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.); and
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
enhance the validated data based on the enhanced prompt data employing one or more additional inputs using the NLP model (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);.
As per claims 11: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine comprises a score generation unit configured to:
assign the enhanced quality score to the enhanced prompt data received from the data enhancement unit (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.);
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
transmit the enhanced prompt data with the assigned enhanced quality score to the data enhancement unit (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);; and
Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
enable generation of the modified prompt data based on the enhanced quality score (Cronin shows: [0025] The communication (or cloud) network 133 may be inclusive of wired and wireless networks. The communication network 133 may be implemented, for example, using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, and other communication techniques known in the art. The communication network 133 may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet and may rely on shared resources to achieve coherence and economies of scale, like a public utility, while third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance.);.
As per claims 12: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine comprises a story generation unit configured to generate the features based on the modified prompt data employing LLMs, wherein the features represent user story data and epic data (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.).
As per claims 13: Regarding the claim limitations below, Reference Cronin in view of Reference Morris shows:
wherein the innovation data refinement engine comprises an output unit configured to generate the code for deployment based on the generated features (Cronin shows: Abstract idea: Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. [0015] Embodiments of the present invention include systems and methods for systematically evaluating idea quality in accordance with specified rules. In addition, such assessments may also be used to initiate workflows for improving the quality of a given idea. Some embodiments may provide for assessment of the novelty of idea in real-time (e.g., during an innovation or ideation session). Such initial assessments may further be updated in real-time as the idea is discussed further. Such assessment may rely on voice-activated and intelligence-driven searching of various data sources to identify the context of the idea so as to provide an objective basis for the assessment. [0034] Novelty module 118 may evaluate and score identified ideas in accordance with defined rules. As each new idea is identified by the user(s) in the brainstorming session and stored to idea database 119, novelty module 118 may also send the transcription to AI patent network 124 for automated search. Novelty module 118 may further evaluate the search results returned by AI patent network 124 and generate a score, which may further be provided to the user through visual and/or audio feedback. For example, different colored lights 104 may represent different score levels of novelty.).
Conclusion
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
NPL Reference:
I. Novalija et al., "From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories," in IEEE Access, vol. 13, pp. 129995-130014, 2025, doi: 10.1109/ACCESS.2025.3590135. keywords: {Artificial intelligence;Technological innovation;Knowledge graphs;Semantics;Software development management;Market research;Codes;Companies;Annotations;Open source software;Artificial intelligence;data mining;text mining;time series analysis},
This reference discloses artificial Intelligence (AI) is a transformative force driving innovation, yet tracking AI-related advancements remains challenging due to the rapid pace of development and unstructured data from platforms like GitHub. This paper proposes an AI-driven approach to innovation detection, leveraging GitHub as a data source to systematically identify and link AI projects to organizations. Key contributions include a domain-specific taxonomy comprising 7,490 AI topics, a modular pipeline for semantic annotation and entity linking, and a trend detection framework based on Singular Spectrum Analysis (SSA). A knowledge graph is constructed to represent relationships among AI topics, projects, and companies, thereby enabling structured innovation tracking. The approach addresses challenges such as data sparsity and noise, demonstrating strengths in semantic annotation and topic categorization. Results highlight the potential for accurately detecting AI innovations and linking them to organizational entities, offering valuable insights for researchers, companies, and policymakers. This work contributes a scalable, automated approach for AI innovation tracking, with future directions focusing on refining entity linking and expanding the knowledge graph to capture emerging trends.
Foreign Reference:
(CN 115481827 A) Zhang et al. A Method For Intelligent Matching Of Innovative Business Service Supply And Demand.
This reference discloses a method for intelligent matching of innovative business service supply and demand; The patent provides the innovative business service supply and demand intelligent matching technology research, the supply and demand matching problem, is converted into the configuration of the generation and element of the automation attribute; The main innovative points are: (1) normalizing the original data using the framework of the SFC "Coriolis attribute"; comprising the extraction of attribute, and the calculation of the element configuration, (2) after establishing digital twinning for the enterprise, using the model of the patent to predict. The present patent includes the following contents: user portrait, digital twinborn, and supply and demand mapping; obtaining the text describing the supply, establishing the mapping of the text to the feature, calculating the similarity of the characteristics and the user, obtaining the mapping of the supply and demand; based on the digital twinning model, researching the supply to the requirement of mapping, interaction, calculating the change of the requirement, supplying the similarity of matching, performing adaptive adjustment, so as to obtain the precise matching of the two.
(WO 2022140207 A1) INNOVATION LIFE CYCLE SYSTEM PLATFORM.
This reference discloses one embodiment provides a method for facilitating an innovation life cycle by connecting stakeholders utilizing an analysis for identifying best stakeholder matches and facilitating innovation transactions, the method including: receiving, at a system platform, information corresponding to an innovation from a first stakeholder; ranking, using the system platform, the innovation based upon a likeliness of commercial success of the innovation, the likeliness being determined based upon a plurality of factors corresponding to the innovation and identified, at least in part, from the information; identifying, using the system platform, at least one second stakeholder for performing an objective evaluation of the innovation, wherein the at least one second stakeholder comprises an expert suitable for analyzing the innovation; and facilitating, via the system platform, an innovation transaction between the first stakeholder and at least one third stakeholder, wherein the at least one third stakeholder initiates the innovation transaction in response to receipt of the objective evaluation. Other aspects are described and claimed.
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/N.N.P/Examiner, Art Unit 3624 /PATRICIA H MUNSON/Supervisory Patent Examiner, Art Unit 3624