Intangible Intelligence

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Presentation
Digital Ark Services (DAP)
Project Owner

Intangible Intelligence

Funding Requested

$5,000 USD

Expert Review
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Overview

Can AI effectively and reliably identify and quantify the intangible assets of organizations, providing a structured and standardized method to assess these assets across various sectors?

Proposal Description

Our Team

  1. Expertise in AI Tooling and Frameworks

  2. Proficiency in ML Ops and Fine-Tuning

  3. Experience with Blockchain and Decentralized Organizations

  4. Community Building Expertise

  5. Business Audit and Coaching Expertise

  6. Innovative Approach to Problem-Solving

  7. Collaborative and Multi-Disciplinary Team

  8. Commitment to Ethical AI Development
View Team

Please explain how this future proposal will help our decentralized AI platform grow and how this ideation phase will contribute to that proposal.

Specific Benefits

Innovation and Scalability: The adaptable AI framework will serve various industries, increasing the platform's versatility and user base.

Community Engagement: Collaborative development will foster knowledge sharing and active participation, strengthening the community.

Bias Mitigation: An objective protocol will enhance credibility and attract organizations committed to ethical AI.

Reliable Insights: Improved data reliability will provide accurate, actionable insights, boosting the platform’s value.

Understanding Full Value

Recognizing Member Value: Our framework helps decentralized communities recognize and appreciate the full value of their members, fostering inclusivity and motivation.

Empowering Communities: Insights from our AI framework empower developers, business creators, and organizers with a clearer understanding of value, enabling better decision-making, collaboration, and community building.

Clarify what outcomes (if any) will stop you from submitting a complete proposal in the next round.

  1. Failure to Establish an Objective Protocol:

    • Without a reliable protocol to quantify subjective values, transforming intangible inputs into tangible outputs becomes unfeasible.
  2. Bias and Data Reliability Issues:

    • High levels of bias or unreliable data interpretation can skew results, leading to inaccurate evaluations. This compromises the tool's credibility and utility.
  3. Lack of Generalizability:

    • If the AI methodologies are not adaptable across various industries, the solution's applicability and scalability are limited.
  4. Ethical and Regulatory Concerns:

    • Unresolved ethical or regulatory issues related to AI usage can halt progress, ensuring compliance is essential.

The core problem we are aiming to solve

"Can an AI framework support the discovery and identification of intangible assets, transforming them into tangible value, while establishing an objective protocol to interpret and quantify their subjective value and meaning?"

Our specific solution to this problem

Our solution aims to develop an AI framework that identifies and transforms intangible assets into tangible value, and establish an objective protocol to quantify their subjective value. By researching AI-based tools like QualAI, ATLAS.ti, and Delve, we will focus on data codification, thematic analyses, named entity recognition, sentiment analysis, and content summaries, addressing the challenges and limitations of automating qualitative research.

We will explore whether discovering intangible value is subjective, and if a protocol can be established. By conducting thematic analysis and integrating AI tools, we aim to create a protocol that enhances reliability and mitigates bias. The expected outcome is an objective protocol applicable across industries.

Our hypothesis tests the capability of AI in identifying intangible assets (H1) and establishing an objective protocol (H2), with sub-questions assessing the success of AI tools and the accuracy and bias mitigation of the protocol. This solution bridges the gap between subjective and objective evaluations, providing a robust foundation for organizations to understand and capitalize on intangible assets.

Project details

Objective:

  • Develop an AI framework to discover, identify, and elevate intangible assets into tangible value
  • Establish an objective protocol for interpreting and quantifying the subjective value of intangible assets

Frameworks to be Researched:

  • QualAI / ATLAS.ti / Delve: AI-based tools for qualitative data analysis, focusing on data codification, thematic analyses, named entity recognition, sentiment analysis, and content summaries Highlighting the challenges and limitations of fully automating qualitative research

Research Questions:

  • Is discovering intangible value in an organization subjective?
  • Can there be a standard way to measure intangible value?
  • Can we create an objective view from subjective inputs?
  • How can intangible assets that add tangible value be defined and discovered?

Evidence and Claims:

  • AI can assist significantly in qualitative research but cannot fully automate processes requiring deep thematic understanding
  • Intangible value is inherently subjective, and AI can help in identifying patterns but not in generating new insights or interpreting meaning

Research Methodology:

  • Conduct thematic analysis using AI tools to identify patterns and insights in qualitative data
  • Compare and integrate the capabilities of QualAI, ATLAS.ti, and Delve in evaluating intangible assets
  • Develop a protocol for standardizing the assessment of intangible assets, focusing on reliability and bias mitigation

Supporting Goals for the Proposal

  1. Research and Development of AI Tools: Investigate existing AI tools like QualAI and ATLAS.ti, which are known for their capabilities in qualitative data analysis, to understand their applicability and limitations in the context of intangible asset valuation​​.

  2. Methodology Validation: Test these tools in various sectors to gather evidence of their effectiveness and adaptability. This involves detailed case studies or pilot projects within industries known for heavy reliance on intangible assets, such as technology, healthcare, and creative industries.

  3. Standardization of Assessment Protocols: Develop guidelines for standardizing the AI-assisted assessment process. This could involve collaboration with industry standards bodies to ensure the methodologies are robust, scalable, and adaptable across different contexts​​.

  4. Integration of Human Expertise: Recognize the indispensable role of human judgment in interpreting complex patterns and deep thematic insights. The proposal should outline a hybrid model where AI supports human decision-makers, enhancing efficiency without replacing the nuanced understanding required in qualitative analysis​​.

By focusing on these areas, the research can provide significant insights into the practicality of AI in a field that traditionally relies heavily on human expertise and subjective interpretation. This approach not only aligns with technological advancement but also with the need for a deeper understanding of the value that intangible assets bring to organizations.

Desired Outcomes:

  • Objective Theory: Evidence that supports the implimentation of the theory that is derived from the hypothesis research results.
  • Validate AI Capabilities: Theoretical capabilities that support the identification and transformation of intangible assets into tangible value
  • Objective Protocol: Quantifies subjective value, applicable across various industries and contexts

Hypothesis Statement: "Can an AI framework support the discovery and identification of intangible assets, transforming them into tangible value, while establishing an objective protocol to interpret and quantify their subjective value and meaning?"

Breaking Down the Hypothesis: To thoroughly explore this hypothesis, let’s decompose it into two primary aspects:

  1. Capability of AI in Discovering and Identifying Intangible Assets (H1)
  2. Establishing an Objective Protocol to Interpret and Quantify Subjective Value (H2)

Sub-questions for Hypothesis Evaluation:

For H1: Capability of AI in Discovering and Identifying Intangible Assets, the following nuanced questions can help:

  • H1.E1: What is the probability that AI tools like QualAI and ATLAS.ti can successfully identify intangible assets in qualitative data?
  • H1.E2: Can AI frameworks consistently discover new types of intangible assets across different industries?

For H2: Establishing an Objective Protocol to Interpret and Quantify Subjective Value, the following nuanced questions can help:

  • H2.E1: What is the probability that an objective protocol developed using AI can accurately quantify the subjective values of intangible assets?
  • H2.E2: How likely is it that such a protocol can mitigate bias and enhance data reliability across diverse datasets?

Existing resources

Edify has been a leader in mentorship for innovative businesses by supporting their journey of discovering their true value. Edify has experience in evaluating and discovering the intangible value hidden within teams, businesses, and corporations. 

DF2 Proposal Link: DF2 Proposal Link: https://deepfunding.ai/proposal/community-based-mentorship/

DF3 Proposal Link: https://deepfunding.ai/proposal/ai-enabled-full-value-audit-and-dashboard-for-sustainable-exponential-organisational-growth/

Proposal Video

DF Spotlight Day - DFR4 - Curtis Myers - Intangible Intelligence

3 June 2024
  • Total Milestones

    3

  • Total Budget

    $5,000 USD

  • Last Updated

    3 Jun 2024

Milestone 1 - Research and Framework Evaluation

Description

Conduct initial research to identify and evaluate existing AI tools (QualAI ATLAS.ti Delve) for qualitative data analysis. Focus on how these tools can support the identification and transformation of intangible assets.

Deliverables

A detailed report on the capabilities and limitations of existing AI tools including an initial evaluation of their suitability for identifying and quantifying intangible assets.

Budget

$2,000 USD

Milestone 2 - Protocol Design and Validation

Description

Design an objective protocol for interpreting and quantifying the subjective value of intangible assets. Validate this protocol through initial testing with sample data to ensure reliability and bias mitigation.

Deliverables

A report detailing the designed protocol validation findings and recommendations for further development and application.

Budget

$1,500 USD

Milestone 3 - Documentation and Final Report

Description

Compile all research findings evaluation results and protocol design into a comprehensive final report. This report will also outline the potential impact and applications of the developed AI framework and protocol.

Deliverables

A comprehensive final report documenting the research evaluation protocol design validation findings and future recommendations.

Budget

$1,500 USD

Join the Discussion (2)

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2 Comments
  • 0
    commentator-avatar
    Gombilla
    Jun 5, 2024 | 12:23 PM

    I will comment on this initiative by saying that while this project aims to create a protocol applicable across industries, the diversity of intangible assets and organizational contexts may pose challenges to generalizability. Your team should pay attention to customization and adaptation of protocols specific to industry needs and organizational structures as this will be necessary to ensure its effectiveness and relevance. Thanks !

  • 0
    commentator-avatar
    CLEMENT
    May 17, 2024 | 5:45 PM

    Kudos to the proposer of ths great initiative. I find this very fascinating and interesting and would like to get to know a lot more about this proposal. If the proposer can schedule out time, I would be glad to have a cpnversation in this regard! Thanks

Reviews & Rating

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6 ratings
  • 0
    user-icon
    Rafael_Cardoso
    May 27, 2024 | 12:09 PM

    Overall

    4

    • Feasibility 4
    • Viability 5
    • Desirabilty 4
    • Usefulness 3
    Good idea but would benefit from Focus and Clarity

    This is an interesting idea, but it would be interesting to understand here what is considered intangible assets by the team. Is it something like intellectual property, or branding or would it be more like community participation and other similar variables?

    In practice, a lot of things could be considered Intangible assets, so it would probably be beneficial to focus initially on specific intangible assets because different intangible assets might require different valuation methods and different training for each AI model. 

    The eventual scalability of this idea it’s also something to be considered, as it might be hard to scale across different industries and require a lot of manual work and development. 

    I would also like to have a notion of the problem that is being solved here with this tool and the dimension of the problem, to understand why people or businesses would be willing to pay for such a solution. Would this be used by companies to evaluate their intangible assets for funding purposes, or even would it be possible to add this valuation to the balance sheet for accounting purposes? Or would this be a tool focused on being used by investors, to evaluate a company’s intangible assets, and understand possible investment opportunities? If the focus is on investors, is it more on retail investors or professional investors?

    This kind of framework and evaluation might also be hard to do with an AI model, as it’s something rather subjective, and some of the criteria selected might not be seen as the overall market as the right one, or good enough. Getting that consensus in terms of valuation can be hard.

    While there are clearly some questions that need to be answered for this idea to have a high likelihood of success and impact, this is still interesting research to explore, because it might help answer some of these questions with actual data.

    The Project Team is experienced in Deep Funding and has a great track record in terms of the work delivered so far.

  • 1
    user-icon
    CLEMENT
    May 17, 2024 | 11:40 AM

    Overall

    4

    • Feasibility 4
    • Viability 3
    • Desirabilty 4
    • Usefulness 4
    Project contributes to efficient Risk Management

    Identifying and quantifying intangible assets helps organizations mitigate risks associated with undervaluing or overlooking key aspects of their business, improving overall risk management practices.

    Connected to this, providing a structured and standardized method to assess intangible assets, organizations can make more informed decisions regarding investments, partnerships, and strategic planning.

  • 1
    user-icon
    Gombilla
    May 17, 2024 | 11:57 AM

    Overall

    4

    • Feasibility 3
    • Viability 3
    • Desirabilty 5
    • Usefulness 4
    Proposal promotes Transparent Assets Valuation

    The ability to quantify intangible assets can facilitate more accurate valuation of organizations, which is valuable for investors, stakeholders, and potential acquirers within the SingularityNet ecosystem. In addition to that, Intangible Intelligence can promote marketplace transparency by offering a standardized approach to assessing intangible assets, enabling more transparent communication and comparison of organizations within the marketplace. 

  • 0
    user-icon
    Tu Nguyen
    May 30, 2024 | 2:14 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 3
    • Usefulness 4
    Intangible Intelligence

    This proposal will address the question: Can an AI framework support the discovery and identification of intangible assets, transforming them into tangible value, while establishing an objective protocol to interpret and investigate their subjective value and meaning? This proposal has the idea of ​​developing an AI framework that helps identify and convert intangible assets into tangible value, while also establishing an objective protocol to quantify their subjective value.
    Personal opinion: I feel that they should more clearly share information about the team. They should share members' social media links. Furthermore, in the project group there are still some accounts in pending status.

  • 0
    user-icon
    Max1524
    Jun 10, 2024 | 2:25 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 3
    Overall, this is a well-expressed proposal

    There are not many problems with the content of the milestones, the only small suggestion is that the team should add a time element to each milestone to make it easier for me and the community to evaluate the effectiveness of work implementation.

  • 0
    user-icon
    Joseph Gastoni
    May 19, 2024 | 8:18 AM

    Overall

    4

    • Feasibility 4
    • Viability 3
    • Desirabilty 3
    • Usefulness 4
    The project to identify intangible assets with AI.

    The project to identify intangible assets with AI has potential but requires careful consideration of limitations and user needs. Focusing on a well-defined scope, addressing ethical concerns, and demonstrating clear value proposition can increase the project's value. Collaboration with relevant stakeholders and building trust in the AI framework are crucial for success.

    This project proposes developing an AI framework to identify and quantify intangible assets of organizations. Here's a breakdown of its strengths and weaknesses:

    Feasibility:

    • Moderate: Challenges exist in establishing an objective protocol for subjective value and ensuring generalizability across industries.
    • Strengths: Leverages existing AI tools for qualitative data analysis, focusing on areas with potential for automation.
    • Weaknesses: Deep thematic understanding and new insight generation might still require human expertise.

    Viability:

    • Moderate: Success depends on overcoming limitations of AI in qualitative analysis and demonstrating clear value proposition.
    • Strengths: The project addresses a valuable need for organizations and could foster community engagement.
    • Weaknesses: Competition from existing consulting services and potential ethical/regulatory concerns about AI bias need to be addressed.

    Desirability:

    • Moderate-High: Organizations would benefit from a reliable method for valuing intangible assets.
    • Strengths: The project aligns with the growing interest in AI for business applications.
    • Weaknesses: User trust in AI for subjective valuations and potential job displacement concerns need to be addressed.

    Usefulness:

    • Moderate-High: The project could provide valuable insights if it overcomes limitations and establishes a reliable framework.
    • Strengths: Improved understanding of intangible assets can support better decision-making for organizations.
    • Weaknesses: The long-term impact on decision-making accuracy and actual value creation requires evaluation.

    Besides, the project should consider:

    • Focusing on specific types of intangible assets with clear metrics for evaluation might be a good initial approach.
    • Collaboration with domain experts and potential users from various industries is crucial for effective development.
    • Transparency in AI algorithms and addressing potential bias are essential for building user trust.

    Here are some strengths of this project:

    • Addresses a valuable need for organizations to better understand and quantify their intangible assets.
    • Leverages existing AI tools for qualitative data analysis and proposes a structured approach.
    • Acknowledges the limitations of AI and proposes a hybrid model with human expertise.

    Here are some challenges to address:

    • Overcoming the inherent subjectivity of intangible asset valuation and limitations of AI in deep thematic understanding.
    • Demonstrating the accuracy, reliability, and generalizability of the AI framework across diverse industries and contexts.
    • Building trust with users regarding potential bias in AI algorithms and potential job displacement concerns.

    By addressing these challenges and focusing on a user-centered approach with clear validation methods, this project can become a valuable tool for organizations to gain insights into their intangible assets and potentially improve decision-making.

Summary

Overall Community

4

from 6 reviews
  • 5
    0
  • 4
    6
  • 3
    0
  • 2
    0
  • 1
    0

Feasibility

3.8

from 6 reviews

Viability

3.7

from 6 reviews

Desirabilty

3.8

from 6 reviews

Usefulness

3.7

from 6 reviews

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