Custom GPT - Booz Allen Scrum Master

Velocity, Booz Allen's Annual report is both an impressive Generative AI portfolio and a work of art. Since I'm leading an Assistants API LabLab.ai Hackathon I decided to use it as part of my project. I start by creating a Velocity Scrum Master Custom GPT.

This custom GPT aids users by summarizing project details, identifying pain points, and generating SCRUM-compatible goal statements and sprint outlines. It then offers users the option to choose another project, ask questions, or conclude the process with a summary of the activities undertaken.

After porting the document to text, I uploaded it to the custom GPT knowledge system, and turned off web browsing so all the information would be pulled from the velocity document.

The configuration code was simple enough and walks the user through 10 steps.

Custom GPT Configuration File

When clicking "Search Velocity" go to knowledge velocity perform the following 10 steps:

Step 1: search velocity knowledge, go through entire document, summarizing the top 10 major projects, give the name of the project and a brief one sentence description.

Step 2: ask the user to choose one of those topics for a project.

Step 3: for the project the user chooses, list the pain points of each of those projects.

Step 4: for the project chosen, create a goal statement that would be used on a SCRUM team to implement the project and address the pain points of that project.

Step 5: for the project chosen, give an outline of the steps required to accomplish the project as SPRINTS.

Step 6: for each element of the outline give 5 user stories.

Step 7: list the major dependencies.

Step 8: in the user stories roles were listed, list these roles and a one sentence description so I will know what type of positions to assemble into a cross functional team.

Step 9: ask the user if they would like to choose another project, ask a question or finish.

Step 10: if finish is chosen, summarize the activity above.

PROCEED: if the program pauses, ALWAYS ASK THE USER IF THEY WOULD LIKE TO CONTINUE

Going to the Custom GPT (see below), the user is given the option to click on the Search Velocity button. This acts as function call, that calls the 10 steps shown above.

After clicking "Search Velocity" the top 10 major projects highlighted in the document "Velocity" are given.

TOP 10 Velocity Projects

1. Advancing AI to Ensure Freedom and Safety in Space - Enhances space domain awareness by integrating large language models for tracking and managing space traffic.
2. Mobilizing Publicly Available Data for National Security - Uses publicly available data to strengthen national security intelligence capabilities.
3. From Science to Practical Climate Resilience - Focuses on translating climate science into actionable strategies for climate resilience using novel AI approaches.
4. Unlocking Human Potential - Aims to enhance cognitive and mission performance through personalized intelligence technologies.
5. The Physical Impact of Data - Discusses the sustainability challenges in managing the environmental impact of large-scale data operations.
6. The Emerging Citizen Experience - Explores the integration of AI in public service delivery, highlighting both the advantages and challenges.
7. Can Quantum Supercharge AI? - Investigates the potential for quantum computing to enhance AI capabilities, especially in processing speed and power.
8. Generative AI in the Wild - Deploys generative AI for powerful mission applications, ensuring purpose-driven technology implementation.
9. Managing Edge AI Sprawl - Addresses the challenges of managing AI technologies beyond traditional enterprise boundaries, focusing on streamlining and security.
10. Software Delivery - Code Writing Code - Explores the disruptive impact of AI on software development, enabling AI-driven code generation.

Please let me know which project you'd like to focus on for further details.

Choosing project 7 gives the major pain points.

Project Choice & Pain Points

For Project 7, "Can Quantum Supercharge AI?", the major pain points include:

1. Technological Maturity: Quantum computing, particularly quantum machine learning (QML), is still in early developmental stages, facing challenges in scalability and error rates.
2. Resource Intensity: Quantum computing requires significant computational power and specialized hardware, which are costly and complex to manage.
3. Data Handling Limitations: Current quantum computers and models require significant data compression, which can limit performance and the scope of applications.
4. Integration with Classical Systems: Integrating quantum computing capabilities with existing classical computing systems is complex and requires sophisticated infrastructure.
5. Skill Shortage: There is a shortage of skilled professionals who understand both quantum computing and AI technologies, making it difficult to advance research and practical applications.

Would you like to continue by creating a goal statement for a SCRUM team to address these pain points, or do you have another question on this topic?

Project Goal

To address the pain points associated with the project "Can Quantum Supercharge AI?", a SCRUM team could adopt the following goal statement:

Goal Statement: "Develop a scalable, efficient quantum machine learning (QML) prototype that integrates seamlessly with existing AI systems, minimizes resource intensity, and provides educational modules to enhance team capabilities in quantum computing."

This goal focuses on creating a prototype that tackles the main technological and integration challenges while also building the team's competency in this advanced field.

Next, I'll outline the steps required to accomplish this project in terms of sprints. Would you like to proceed with this?

Sprint Outline

To successfully accomplish the project "Can Quantum Supercharge AI?" through a SCRUM approach, here’s a proposed sprint outline:

Sprint 1: Foundation and Research

• User Story 1: As a project manager, I need a comprehensive overview of current quantum computing technologies and quantum machine learning (QML) applications to understand the scope of integration.
• User Story 2: As a system architect, I need to identify the necessary hardware for quantum computing so that the infrastructure can support the QML prototype.
• User Story 3: As a quantum scientist, I need to collaborate with AI experts to outline the potential enhancements QML can bring to AI systems, to better target our development efforts.
• User Story 4: As a developer, I need access to current quantum computing SDKs and APIs to begin prototype development.
• User Story 5: As a project coordinator, I need to establish a communication plan between quantum experts and AI teams to ensure fluid knowledge transfer and collaboration.

Sprint 2: Prototype Development

• User Story 1: As a quantum developer, I need to design initial algorithms that can run on both quantum and classical systems to test interoperability.
• User Story 2: As a data scientist, I need to develop methods for compressing data without significant loss of information to optimize for quantum processing.
• User Story 3: As a security analyst, I need to ensure the prototype adheres to data security standards specific to quantum data.
• User Story 4: As a QA tester, I need to set up a testing framework that can accurately measure the performance and error rate of quantum algorithms.
• User Story 5: As an AI developer, I need to integrate AI models with quantum algorithms to assess improvements in processing speed and accuracy.

Sprint 3: Integration and Scaling

• User Story 1: As a system architect, I need to create a scalable architecture that can handle increased quantum processing loads without degrading system performance.
• User Story 2: As a developer, I need to refine the integration tools that allow for seamless communication between quantum and classical computing components.
• User Story 3: As a project manager, I need to evaluate the economic impact of scaling quantum computing operations to justify further investment.
• User Story 4: As a training coordinator, I need to develop educational modules on quantum computing for AI professionals to enhance team capabilities.
• User Story 5: As a marketing strategist, I need to prepare informational material that communicates the benefits of our QML innovations to stakeholders and potential clients.

Sprint 4: Evaluation and Optimization

• User Story 1: As a QA tester, I need to conduct extensive testing to ensure the prototype meets all functional and performance criteria.
• User Story 2: As a developer, I need to optimize the quantum machine learning algorithms to reduce computational demands and improve efficiency.
• User Story 3: As a data scientist, I need to assess the prototype’s ability to handle real-world data sets and provide feedback for further improvements.
• User Story 4: As a user experience designer, I need to ensure the system's user interface is intuitive for both quantum and non-quantum users.
• User Story 5: As a project manager, I need to compile a report on the prototype testing results and plan for next steps based on feedback.

Would you like to continue with listing the major dependencies for this project, or explore another aspect of the project planning?

Dependencies

For the project "Can Quantum Supercharge AI?", the major dependencies are as follows:

1. Quantum Computing Hardware Availability

• Dependency: Access to quantum computers or quantum simulators is essential for developing and testing quantum machine learning algorithms.
• Impact: Limited availability or access constraints could delay development and testing phases.

2. Expertise in Quantum Computing and AI

• Dependency: Need for skilled professionals who are knowledgeable in both quantum computing and AI.
• Impact: Shortage of skilled personnel could slow down research and development efforts.

3. Software Development Kits (SDKs) and APIs

• Dependency: Reliable SDKs and APIs for quantum computing are necessary for integrating quantum algorithms with existing AI frameworks.
• Impact: Lack of robust development tools could limit the functionality and performance of the prototype.

4. Data Security and Privacy Regulations

• Dependency: Compliance with data security and privacy regulations, especially when handling sensitive or proprietary data.
• Impact: Non-compliance could lead to legal issues and undermine the project’s credibility.

5. Interoperability with Classical Computing Systems

• Dependency: Effective integration tools and strategies to ensure that quantum and classical computing components can operate seamlessly together.
• Impact: Poor integration could result in suboptimal performance and limit the prototype’s applicability.

6. Funding and Resource Allocation

• Dependency: Sufficient funding is required to support the research, development, and deployment of quantum machine learning applications.
• Impact: Inadequate funding could restrict the scope of the project and affect the quality of the outcome.

7. Data Sets for Training and Testing

• Dependency: Access to large and diverse data sets that are suitable for training and testing quantum machine learning models.
• Impact: Limited or biased data could affect the accuracy and reliability of the algorithms.

8. Collaboration and Knowledge Sharing

• Dependency: Effective collaboration between teams and sharing of knowledge across disciplines to drive innovation.
• Impact: Lack of collaboration could hinder the cross-pollination of ideas necessary for breakthroughs in this interdisciplinary field.

Would you like to proceed to the next step and list the roles required for a cross-functional team based on the user stories, or explore another area?

Roles

Based on the user stories and tasks outlined in the previous sprints for the project "Can Quantum Supercharge AI?", here are the roles needed for a cross-functional team along with a brief description of each:

1. Quantum Scientist

• Description: Specializes in quantum mechanics and quantum computing technologies. Responsible for developing quantum algorithms and ensuring their scientific validity.

2. AI Developer

• Description: Focuses on integrating AI with quantum computing frameworks to enhance machine learning capabilities and performance.

3. System Architect

• Description: Designs and oversees the development of scalable and secure system architectures that support both quantum and classical computing elements.

4. Data Scientist

• Description: Manages data preprocessing, model training, and testing. Ensures that the data used is optimal for both quantum and classical machine learning algorithms.

5. Security Analyst

• Description: Ensures the project adheres to data security standards, especially concerning quantum data, and mitigates risks associated with quantum computing technologies.

6. QA Tester

• Description: Responsible for setting up testing frameworks and conducting rigorous tests to ensure the functionality and performance of the quantum-AI integration meet the project specifications.

7. Project Manager

• Description: Coordinates all project activities, ensuring that milestones are met within the timelines and budgets. Facilitates communication between different team members and stakeholders.

8. Developer (Software/Quantum SDKs)

• Description: Implements algorithms and features using quantum SDKs and APIs, ensuring compatibility and performance across different computing platforms.

9. Training Coordinator

• Description: Develops and manages educational modules and training sessions to enhance team capabilities in quantum computing and AI.

10. Marketing Strategist

• Description: Creates and implements strategies to communicate the benefits of the project’s outcomes to stakeholders and potential clients, ensuring the project's commercial viability.

11. User Experience Designer

• Description: Designs intuitive interfaces for both quantum and non-quantum users, ensuring ease of use and accessibility of the quantum computing applications.

Each of these roles contributes unique skills and expertise, essential for addressing the complexities of integrating AI with quantum computing and achieving the project’s goals.

Would you like to choose another project to explore, ask a question, or finish our session?

JSON

Please print the user stories in JSON format by sprint. I generate this JSON since I will be using it in the Assistants API project.

Velocity Scrum Master

Here are the user stories organized by sprint in JSON format:

{

"Sprint 1: Foundation and Research": [

{

"role": "Project Manager",

"story": "As a project manager, I need a comprehensive overview of current quantum computing technologies and quantum machine learning (QML) applications to understand the scope of integration."

},

{

"role": "System Architect",

"story": "As a system architect, I need to identify the necessary hardware for quantum computing so that the infrastructure can support the QML prototype."

},

{

"role": "Quantum Scientist",

"story": "As a quantum scientist, I need to collaborate with AI experts to outline the potential enhancements QML can bring to AI systems, to better target our development efforts."

},

{

"role": "Developer",

"story": "As a developer, I need access to current quantum computing SDKs and APIs to begin prototype development."

},

{

"role": "Project Coordinator",

"story": "As a project coordinator, I need to establish a communication plan between quantum experts and AI teams to ensure fluid knowledge transfer and collaboration."

}

],

"Sprint 2: Prototype Development": [

{

"role": "Quantum Developer",

"story": "As a quantum developer, I need to design initial algorithms that can run on both quantum and classical systems to test interoperability."

},

{

"role": "Data Scientist",

"story": "As a data scientist, I need to develop methods for compressing data without significant loss of information to optimize for quantum processing."

},

{

"role": "Security Analyst",

"story": "As a security analyst, I need to ensure the prototype adheres to data security standards specific to quantum data."

},

{

"role": "QA Tester",

"story": "As a QA tester, I need to set up a testing framework that can accurately measure the performance and error rate of quantum algorithms."

},

{

"role": "AI Developer",

"story": "As an AI developer, I need to integrate AI models with quantum algorithms to assess improvements in processing speed and accuracy."

}

],

"Sprint 3: Integration and Scaling": [

{

"role": "System Architect",

"story": "As a system architect, I need to create a scalable architecture that can handle increased quantum processing loads without degrading system performance."

},

{

"role": "Developer",

"story": "As a developer, I need to refine the integration tools that allow for seamless communication between quantum and classical computing components."

},

{

"role": "Project Manager",

"story": "As a project manager, I need to evaluate the economic impact of scaling quantum computing operations to justify further investment."

},

{

"role": "Training Coordinator",

"story": "As a training coordinator, I need to develop educational modules on quantum computing for AI professionals to enhance team capabilities."

},

{

"role": "Marketing Strategist",

"story": "As a marketing strategist, I need to prepare informational material that communicates the benefits of our QML innovations to stakeholders and potential clients."

}

],

"Sprint 4: Evaluation and Optimization": [

{

"role": "QA Tester",

"story": "As a QA tester, I need to conduct extensive testing to ensure the prototype meets all functional and performance criteria."

},

{

"role": "Developer",

"story": "As a developer, I need to optimize the quantum machine learning algorithms to reduce computational demands and improve efficiency."

},

{

"role": "Data Scientist",

"story": "As a data scientist, I need to assess the prototype’s ability to handle real-world data sets and provide feedback for further improvements."

},

{

"role": "User Experience Designer",

"story": "As a user experience designer, I need to ensure the system's user interface is intuitive for both quantum and non-quantum users."

},

{

"role": "Project Manager",

"story": "As a project manager, I need to compile a report on the prototype testing results and plan for next steps based on feedback."

}

]

}

This JSON format organizes the user stories by sprint and role, which can be helpful for tracking progress and responsibilities in project management tools. If there's anything else you'd like to adjust or explore, just let me know!

Summary

Here's a summary of our session focused on the project "Can Quantum Supercharge AI?":

• We identified pain points such as technological maturity, resource intensity, data handling limitations, integration challenges, and a shortage of skilled professionals.
• Developed a goal statement for a SCRUM team, aiming to create a scalable quantum machine learning prototype that integrates with AI systems and includes educational modules.
• Outlined the project in sprints with specific user stories for each stage, focusing on research, development, integration, scaling, and optimization.
• Listed the major dependencies such as quantum computing hardware, expertise, data security, and funding.
• Defined the roles needed in a cross-functional team, including Quantum Scientists, AI Developers, System Architects, Data Scientists, Security Analysts, and more, detailing their contributions to the project.

This structured approach is designed to guide the project through its lifecycle efficiently, addressing technical and operational challenges. If you need further assistance or wish to revisit any part of the project planning, feel free to reach out. Thank you for engaging in this detailed project planning session!