Azure Generative AI adoption: 1-Month Proof of Concept

Objective:

Demonstrate the potential and feasibility of incorporating Generative AI into the company's operations using Azure Open AI Service. Additionally, deploy an end-user application built with Power Apps to showcase the real-world application of the generated AI content.

Week 1: Define and Understand

1. Stakeholder Meetings:

   • Gather requirements and objectives from relevant departments.
   • Identify key performance indicators (KPIs) for the PoC.

2. Scope Definition:

   • List potential use cases for Generative AI within the company.
   • Prioritize and select a specific use case for the PoC.

3. Infrastructure Assessment:

   • Evaluate the current integration of Azure services.
   • Recommend necessary upgrades or integrations, ensuring compatibility with Azure Open AI Service.

Week 2: Setup and Data Collection

4. Tool and Platform Configuration:

   • Initiate Azure Open AI Service and configure it for optimal performance.
   • Setup the Power Apps environment to prepare for the end-user application development.

5. Data Collection and Preprocessing:

   • Identify necessary data sources for the chosen use case.
   • Gather and preprocess data, ensuring it's formatted correctly for Azure Open AI Service.

Week 3: Development and Testing

6. Model Development:

   • Begin training generative AI models using Azure Open AI Service with the preprocessed data.
   • Fine-tune models for desired outputs relevant to the chosen use case.

7. Power Apps Development:

   • Design and develop the open-source application on Power Apps that end users will interact with.
   • Integrate the Generative AI outputs from Azure into the Power Apps application.

8. Testing:

   • Validate the generative AI outputs within the Power Apps application.
   • Conduct user testing sessions to ensure the application's usability and the relevance of the generated content.

Week 4: Review and Feedback

9. Stakeholder Demonstration:

   • Showcase the capabilities of the developed Generative AI solution within the Power Apps application.
   • Collect feedback regarding both the generated content and the application's functionality.

10. Analysis:

• Evaluate the outcomes against the pre-defined KPIs.
• Document successes, challenges, and learnings.

11. Recommendation and Roadmap:

• Based on the PoC outcomes, suggest the next steps for a full-scale Generative AI implementation.
• If positive, design a roadmap for expanding the adoption across the company using Azure and Power Apps.

12. Closure:

• Compile the PoC activities, findings, and feedback.
• Submit a comprehensive report to company leadership.

Deliverables:

1. Scope and objective document.
2. Detailed weekly progress reports.
3. Configured Azure Open AI Service model(s).
4. Power Apps end-user application.
5. User testing results and feedback.
6. Final PoC analysis report and recommendations.

Note: While the outlined plan is comprehensive, it's essential to remain adaptable to unforeseen challenges or changes in objectives as the PoC progresses.