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6 changes: 3 additions & 3 deletions 0_RAG_Overview.md
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6 changes: 3 additions & 3 deletions 1_PrivateArchitecture.md
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6 changes: 3 additions & 3 deletions 2_ZeroTrustOverview.md
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6 changes: 3 additions & 3 deletions 3_PricingDemos/0_Doc-Intellig.md
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6 changes: 3 additions & 3 deletions 3_PricingDemos/1_AI-Search.md
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6 changes: 3 additions & 3 deletions 3_PricingDemos/2_AOAI-AIFoundry.md
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6 changes: 3 additions & 3 deletions 3_PricingDemos/README.md
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6 changes: 3 additions & 3 deletions 4_Which_Copilot_toChoose.md
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36 changes: 36 additions & 0 deletions 5_AI_Initial_Questions.md
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# Initial AI Questions - Overview

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| **Category** | **Question to Ask** | **Example Response** | **Purpose** |
|--------------------------|-------------------------------------------------------|------------------------------------------------------|-----------------------------------------------------------------------------------------------|
| **Business Objective** | What problem are you trying to solve with AI? | `We want to reduce manual ticket triage time.` | Understand the core use case and business value.|
| **AI Use Case Type** | Is this a predictive, generative, or classification use case? | `We want to predict equipment failure before it happens.` | Helps determine the AI model type and architecture.|
| **Data Availability** | What kind of data do you have access to? | `We have historical logs, sensor data, and incident reports.` | Assesses data readiness and integration needs.|
| **Data Location** | Where is your data stored (cloud, on-prem, hybrid)? | `Most of our data is in Azure Data Lake.` | Determines data pipeline and access strategy.|
| **Real-Time vs Batch** | Do you need real-time insights or is batch processing sufficient? | `Real-time alerts are critical for us.` | Influences infrastructure and model deployment strategy.|
| **Integration Points** | What systems will this AI solution need to integrate with? | `ServiceNow, Jira, and our internal monitoring tools.` | Identifies APIs, connectors, and integration complexity.|
| **User Interaction** | Will end users interact with the AI directly (e.g., chatbot) or indirectly? | `It will be embedded in our internal dashboard.` | Helps define UI/UX and delivery method.|
| **Security & Compliance**| Are there any compliance or data privacy requirements (e.g., HIPAA, GDPR)? | `Yes, we must comply with SOC 2 and GDPR.` | Determines constraints on data handling and model training.|
| **Preferred Cloud** | Do you have a preferred cloud provider or existing cloud contracts? | `We’re primarily an Azure shop.` | Guides service selection (e.g., Azure ML, AWS SageMaker, GCP Vertex AI).|
| **AI Maturity** | Have you used AI/ML in production before? | `We’ve done some POCs but nothing in production.` | Assesses readiness and need for foundational support.|
| **Model Ownership** | Do you plan to build your own models or use prebuilt ones (e.g., OpenAI, Azure AI)? | `We’d prefer to fine-tune a prebuilt model.` | Helps scope the project and choose between custom vs. managed services.|
| **Monitoring Needs** | How will you monitor and evaluate model performance? | `We’ll need dashboards and alerts for drift and accuracy.` | Ensures observability and governance are planned.|
| **Scalability** | How many users or transactions do you expect the AI to handle? | `We expect 10,000+ daily interactions.` | Determines infrastructure sizing and cost implications.|
| **Budget & Timeline** | What’s your budget and timeline for this initiative? | `We have a 3-month window and a $50K budget.` | Helps prioritize scope and feasibility.|
| **Success Metrics** | How will you measure the success of this AI solution? | `Reduction in ticket resolution time by 30%.` | Aligns technical goals with business KPIs.|

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8 changes: 4 additions & 4 deletions README.md
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> If `main.parameters.json` contains `"location": "westus2"`, make sure your environment has `AZURE_LOCATION=westus2`.

> [!NOTE]
> A `golden dataset` for RAG is your trusted, `curated set of documents or files that the system retrieves from when answering questions`. It’s a clean, accurate, and `representative subset of all possible data free of noise and errors`, so the model always pulls reliable context. Is a `subset of files, for example, and known Q&A pairs chosen from the larger data source.` These are the “benchmark” `questions where the correct answers are already known`, so they can be `used later to measure system accuracy and performance`. Other `expert users are free to ask additional questions during testing, but those will still pull context from the same curated files in the golden dataset (subset datasource) `. In short, it’s the trusted evaluation set for your proof of concept for example.
> A `golden dataset` for RAG is your trusted, `curated set of documents or files that the system retrieves from when answering questions`. It’s a clean, accurate, and `representative subset of all possible data free of noise and errors`, so the model always pulls reliable context. Is a `subset of files, for example, and known Q&A pairs chosen from the larger data source.` These are the “benchmark” `questions where the correct answers are already known`, so they can be `used later to measure system accuracy and performance`. Other `expert users are free to ask additional questions during testing, but those will still pull context from the same curated files in the golden dataset (subset datasource)`. In short, it’s the trusted evaluation set for your proof of concept for example.

<img width="411" height="243" alt="Untitled Diagram drawio" src="https://github.com/user-attachments/assets/40682ec2-77e4-4413-88e5-d343f036f084" />

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6 changes: 3 additions & 3 deletions how-modify.md
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6 changes: 3 additions & 3 deletions how-redeploy-app.md
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6 changes: 3 additions & 3 deletions terraform-infrastructure/README.md
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6 changes: 3 additions & 3 deletions troubleshooting.md
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