AI Powered Self Service Features

Hi powerbiexpert22,

There isn't one single "master list" PDF, but the features are generally categorized into AI Visuals (front-end) and AI Insights (data transformation) in the Microsoft Learn documentation.

Here is the comprehensive breakdown of the AI-powered self-service features currently available, categorized by how you apply them.

1. AI Visuals (No Code Required)

These are standard visualizations you can drag and drop onto your canvas.

• Key Influencers: Analyzes your data to understand which factors drive a specific metric (e.g., "What influences Customer Churn to be 'Yes'?").

• Decomposition Tree: Uses "AI Splits" to automatically find the highest or lowest value in the next dimension of your hierarchy.

• Q&A (Natural Language): Allows users to ask questions in plain English (e.g., "Total sales by region") and generates a visual automatically.

• Smart Narrative: Automatically generates text summaries and dynamic insights based on the data in your report page or specific visuals.

  2. Built-in Analytical Features (On Standard Visuals)

  These are AI features embedded into standard charts (like Line or Scatter charts) via the Analytics pane (magnifying glass icon).

  • Anomaly Detection: Automatically detects anomalies in time-series data and provides explanations.

  • Forecasting: Predicts future values based on historical trends (available in Line Charts).

  • Clustering: Automatically groups data points with similar characteristics (available in Scatter Charts).

  • "Analyze" (Quick Insights): Right-click a data point in a visual > Analyze > "Explain the increase/decrease" or "Find where this distribution is different."

    3. AI in Power Query (Data Prep)

    • Column from Examples: Uses AI to detect patterns in your input to generate complex M transformations (e.g., extracting names from email addresses) without coding.

    • Fuzzy Merge: Uses AI algorithms to join tables based on similar (but not identical) text strings.

      4. Advanced AI (Requires Premium/Fabric)

      • Copilot for Power BI: Uses Generative AI to create report pages, write DAX measures, and summarize semantic models.

      • AI Insights (Dataflows): Access to pre-trained models from Azure Cognitive Services (Sentiment Analysis, Key Phrase Extraction, Image Tagging) directly in the Power Query editor.

      • AutoML: Allows business analysts to build, train, and invoke Machine Learning models directly within Power BI dataflows.

        Where to find the official documentation:

        You can find the deep-dive technical details for these features here:

        • Create AI visuals in Power BI

        • AI Insights in Power BI Desktop

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          If this list helps you locate the features you need, please mark it as the Accepted Solution! ✅ This response was assisted by AI for translation and formatting purposes.