Forum Discussion
Integrate AI with Copilot
- 3 months ago
Hi icassiem
Great questions : let me address each one directly.
1. Can AI Narratives auto-refresh with slicers on scheduled refresh?
Yes. The Narrative visual regenerates dynamically at view-time based on slicer context - you don't need to manually refresh and republish. As of the March 2026 update, there's an Auto refresh toggle in the format pane so narratives update automatically when users change slicers. Your scheduled dataset refresh handles the underlying data; the narrative recomputes on the fly per user's slicer selection.
Ref: https://community.fabric.microsoft.com/t5/Power-BI-Updates-Blog/Power-BI-March-2026-Feature-Summary/ba-p/5173928
2. Is F2 per-member or org-wide?
F2 is an organizational capacity (~$262/month), not a per-user license. You buy one F2 capacity, assign your workspace(s) to it, and anyone with Power BI Pro access to those workspaces gets Copilot. You do NOT need the entire org to move to F2 — just the workspace(s) you need. Individual users still need their own Pro license ($14/user/month). There is no separate Copilot license fee — it's included in the capacity.
Ref: https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction
3. What more can you do with AI Copilot + Power BI?
Beyond narratives, Copilot enables: natural language Q&A (users type questions and get visual answers), auto-generate entire report pages from a description, generate and explain DAX measures, in-report Copilot chat on mobile, and app-scoped Copilot inside Power BI apps. Also important: Q&A is being deprecated December 2026 and Copilot is the replacement — getting ahead of this now is strategic.
Ref: https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-enable-power-bi
4. Can you automate forecasting with Python in Power BI?
Python in Power Query requires an on-premises Personal Gateway with Python installed for scheduled refresh — the Power BI Service cannot execute Python natively. Scripts also have a 30-minute timeout and break query folding. For monthly manual refresh it's workable but not ideal.
Better alternatives with F2: use Fabric Notebooks (Python/PySpark, no gateway needed, runs in cloud, can be scheduled). Or for simple cases, use Power BI's built-in Forecast line (Analytics pane on line charts) and Anomaly Detection — both work natively with scheduled refresh, zero infrastructure.
Ref: https://learn.microsoft.com/en-us/power-bi/connect-data/service-python-packages-support
5. AI/ML roadmap with minimal infrastructure
Phased approach:
Now (no new license): Built-in Forecast lines, Anomaly Detection, Key Influencers visual, Decomposition Tree, strong DAX time intelligence measures. These are all built-in AI visuals that work today.
With F2 (~Month 2): Copilot narratives on every client dashboard, in-report Copilot for natural language Q&A, Copilot-generated DAX and report pages.
Advanced (~Month 4+): Fabric Notebooks for Python ML/forecasting, write predictions to Lakehouse, consume in Power BI via Direct Lake. No gateway needed.
Ref: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers
6. Is the Copilot narrative visual worth it?
Yes, especially for client-facing dashboards. It writes paragraph-style summaries (not bullet points) covering key findings, trends, and outliers — and updates dynamically per slicer context. The April 2026 update defaults to Copilot mode and increased the character limit to 10,000 for richer prompts.
Caveat: quality depends heavily on your semantic model metadata. Add descriptions to measures, tables, and columns — Copilot reads these to generate better narratives. Poor metadata = generic or inaccurate output.
Ref: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-smart-narrative
The pitch for F2: one capacity (~$262/month) serves the whole team, Q&A is being retired Dec 2026 so Copilot is mandatory soon, it unlocks Fabric Notebooks for Python with zero infrastructure, and clients see the analytics difference from day one.
Thanks
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Cheers! - 3 months ago
icassiem Hi! I'll try to answer to your six points:
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Your thinking is mostly correct. Smart Narratives / Copilot update dynamically with slicers and will reflect scheduled refresh in the Service, so you don’t need to manually republish each time.
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This part has evolved recently. Copilot is still not a pure per-user feature, but it’s also more flexible than before. It requires a paid Fabric or Premium capacity (starting from F2/P1) in Microsoft Fabric and cannot be enabled with just Pro/PPU alone. With newer updates, usage can be assigned to a Copilot capacity, so it’s centrally managed rather than tied to a single user, but it still requires an organisational setup.
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With Copilot + Power BI you can enable natural language Q&A, generate summaries, and help users explore data more easily. It’s useful to move from static reporting to more guided insights, but it doesn’t replace solid data modelling.
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Copilot is not designed for forecasting. Python can help in Desktop, but it’s still limited for reliable scheduled refresh in the Service. A manual monthly refresh can work for simple cases, otherwise you’d need an external tool or platform.
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Even without a data platform, you can build a roadmap using Power BI itself: Power Query for ingestion, Dataflows as a lightweight storage layer, and then Copilot/narratives on top. It’s a good starting point with minimal resources.
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Auto narratives can add value, especially for client-facing dashboards, because they summarise key insights quickly. That said, they work best as a supporting layer rather than the main analytical component.
BBF
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- 3 months ago
Hi icassiem
1) Roadmap + Q&A: why use it if I’m not sharing the solution?
Value of Q&A in Power BI is not just for end users where it helps us move from static reporting to exploratory analytics. Even if the client is not directly using Q&A you can use it to validate trends and generate business questions like why did sales drop in region X? which you then convert into visuals or narratives. It reduces development time and improves the quality of insights you present which is what clients care about.
Link - https://learn.microsoft.com/power-bi/natural-language/q-and-a-intro
2) F2 Capacity: can I store data, schedule ETL, and use Copilot?
Yes, with F2 assigned to a workspace we can store data in Lakehouse or Warehous, perform ETL using Dataflows Gen2 or pipelines, can do schedule refresh and transformations, and enable Copilot features if the tenant allows it. So instead of just building reports you get a mini end to end data platform inside Fabric with ingestion, storage, transformation, and analytics.
Link - https://learn.microsoft.com/fabric/fundamentals/fabric-overview
Link -https://learn.microsoft.com/fabric/fundamentals/copilot-enable-fabric
Hi icassiem
1) Is my thinking correct, and can Auto Narratives with Copilot be automated with scheduled refresh (and respond to slicers)?
Yes, in Power BI smart narratives update automatically with dataset refresh and dynamically respond to slicers and filters, so you do not need to manually republish each time. However, Copilot-generated narratives are not fully automated background text generation where they function within visuals and reflect the current report context
Link - https://learn.microsoft.com/power-bi/visuals/power-bi-visualization-smart-narrative
Link - https://learn.microsoft.com/fabric/fundamentals/copilot-enable-fabric
2) Is the F2 license for one user or the entire organization?
It is part of Microsoft Fabric capacity and not a per user license. Assigned at the workspace or capacity level and shared across users who consume content from that capacity. You do not need entire organization to move to F2 and only the relevant workspace needs to be on that capacity
Link -
https://learn.microsoft.com/en-us/fabric/enterprise/licenses
3) What more can I do with Copilot + Power BI for clients and the organization?
Copilot in Power BI can help generate DAX, summarize reports, enable natural language querying, and assist users in exploring data interactively. It enhances productivity and helps transition from static reporting to more insight driven analytics where it still relies on a data model
Link - https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction
Link - https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-integration
4) Can I automate forecasting using Copilot or Python in Power BI Service?
Copilot does not automate forecasting pipelines and Python scripts in Power BI as it has limitations with scheduled refresh in the service. For production use, it’s better to use built in forecasting features or precompute forecasts externally and refresh periodically
Link - https://learn.microsoft.com/power-bi/connect-data/desktop-python-scripts
5) What roadmap can I follow for AI/ML using Power BI with minimal resources?
You can start with built in features like Smart Narratives, Q&A, and Copilot for insights then Microsoft Fabric like F2 capacity for centralized storage
6) Is Copilot auto narrative worth it and does it make an impact?
Smart Narratives are valuable for generating quick summaries and improving client facing storytelling in Power BI. Add value for executives and they are not a standalone AI solution.