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are there any AI features available in Power BI (without using Copilot) apart from below mentioned?
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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.
Hi @powerbiexpert22 ,
Thank you @Nasif_Azam for the response provided!
Has your issue been resolved? If the response provided by the community member addressed your query, could you please confirm? It helps us ensure that the solutions provided are effective and beneficial for everyone.
Thank you for your understanding!
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.
I believe Yes.
@Nasif_Azam have covered almost all of them, I would like to add one more
Apart from "Get quick insights" option that you get at semantic model level. There is one more "Get Insights" option that you will able see when you click on the three dots of a visual.
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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)
Best Regards,
Nasif Azam
Anomaly Detection (Line Chart Visual)
Forecasting (Line Chart Visual)
Cognitive Services Integration
Regards,
Ritesh
Community Champion
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