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powerbiexpert22's avatar
powerbiexpert22
Icon for Impactful Individual rankImpactful Individual
10 months ago
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AI features in Power BI ( without Copilot)

are there any AI features available in Power BI (without using Copilot) apart from below mentioned? Q&A Auto create report based on semantic models quick insights key influencers decomposition ...
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  • Shubham_rai955's avatar
    Shubham_rai955
    10 months ago

    Yes, apart from the AI features you mentioned (Q&A, Auto Report Creation, Quick Insights, Key Influencers, Decomposition Tree, Smart Narratives), Power BI in 2025 offers additional AI-powered capabilities without using Copilot, including:

    • Anomaly Detection: Automatically identifies and highlights outliers in your data trends to flag unusual patterns.

    • Forecasting: Predict future values based on historical data using advanced statistical algorithms.

    • Explain the Increase / Decrease: Provides AI-generated explanations for changes in data points or KPIs.

    • AI visuals and data point annotations: Enable smarter storytelling with AI-driven annotations and insights embedded directly in reports.

    • Enhanced AI-powered data modeling: Includes intelligent selection expressions and composite model improvements for better DAX logic and query performance.

    • Natural Language Query Improvements: Beyond Q&A, natural language parsing advances help provide more relevant and precise answers to complex queries.

Nasif_Azam's avatar
Nasif_Azam
Icon for Super User rankSuper User
10 months ago

Hey powerbiexpert22 ,

Besides Q&A, Auto‑create report from a semantic model, Quick Insights, Key Influencers, Decomposition Tree, and Smart Narratives, Power BI (no Copilot) also includes:

  • Anomaly detection: Detects outliers on line charts and provides explanations in the side pane. (Microsoft Learn)

  • Forecasting: Built‑in time‑series forecasting in the Analytics pane of line charts. (Microsoft Learn)

  • Clustering: “Automatically find clusters” on scatter/table visuals to group similar points (you can also set the number of clusters). (MSSQLTips.com)

  • Azure Cognitive Services integration:  Text Analytics still possible without Copilot by calling Azure AI Language from Power Query (custom M function) for key phrases, sentiment, language detection, and then visualizing in Power BI. (Microsoft Learn)

  • Analyze → Explain the increase/decrease: Automatic root‑cause style explanations on a data point. Works in Desktop and the Service; shows which fields most contributed. Requires Pro/PPU when used in the Service. (Microsoft Learn)

  • Analyze → Find where this distribution is different: Compares distributions across categories and surfaces significant differences). (Microsoft Learn)

  • Fuzzy merge / fuzzy matching: Join on approximate text similarity; Jaccard‑based. (Microsoft Learn)

  • Cluster values / fuzzy grouping: Auto‑group similar text values into canonical forms. (Microsoft Learn)

  • Add Column from Examples: Power Query infers a transformation from a few examples and writes the M step for you. (Microsoft Learn)

  • R & Python visuals/scripts: Inside Power BI Desktop (build ML/Stats models or custom charts; renders in the Service with supported packages. (Microsoft Learn)

 

 

Best Regards,
Nasif Azam