AI features in Power BI ( without Copilot)

Hi powerbiexpert22 

Anomaly Detection (Line Chart Visual)

• Highlights unexpected spikes or dips in time series data.
• Uses statistical models to flag outliers.

 Forecasting (Line Chart Visual)

• Predicts future values based on historical trends.
• Customizable confidence intervals and seasonality settings.

Cognitive Services Integration

• Connects to Azure Cognitive Services for:
• Sentiment analysis
• Image tagging
• Language detection
  
  In-fact I have created a video on Power BI Sentiment Analysishttps://www.youtube.com/watch?v=HDYQRAw4Ewc&pp=ygUuZGFuY2VzaW5nd2l0aCBkYXRhIHNlbnRpbWVudCBhbmFseXNpcyBwb3dlciBiaQ%3D%3D

Regards,

Ritesh

Community Champion

Please mark the answer if helpful so that it can help others

Dance-Sing with Data -BI & Analytics

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

powerbiexpert22 

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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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!

You've covered most of the built-in AI features well. Beyond your list, you might also consider the **AI Insights** from the AppSource (like Text Analytics or Vision) if you need pre-built cognitive services. For a more integrated, conversational experience directly in your reports without a Copilot license, you could explore embedding a custom solution like **PowerMind**, which connects to your semantic model to answer natural language questions. It's fully customizable to your data.

If you're curious about how that works in practice, I recently shared a demo of this approach on LinkedIn: 

https://www.linkedin.com/posts/querixa_powerbi-microsoftfabric-dataanalytics-activity-7439451185696305152-wfFC?utm_source=share&utm_medium=member_desktop&rcm=ACoAACyDUKQBQhomDtRhx1YhG-beulUuVD5DR8w 

https://www.youtube.com/watch?v=JPscIa7SNZw