Microsoft Fabric Updates Blog

Copilot assisted real time data exploration (Preview)

With this new capability, you can now use natural language to explore the live data behind your Real-Time Dashboard tiles, or in KQL tables. Simply ask questions, refine visuals, and uncover insights – all without writing a single line of query language.

Instantly Explore Your Data

Real-Time Dashboards already help you monitor key metrics and spot anomalies as they happen. Now, with Copilot built right in, you can go a step further – ask questions directly about your data and get instant, visual answers.

Want to filter by region, compare timeframes, or find your top-performing products? Just type your question – for example:

  • ‘Show me the average temperature by device over the last 30 minutes.’
  • ‘Which regions have the highest number of delayed orders?’
  • ‘Compare total sales this month versus last month.’

From Insight to Action – Seamlessly

You can continue the exploration and drill through the data in a focused view where you can save your insights as a new visual (tile) on your dashboard for quick access and sharing with your team. Each saved tile stays connected to your live data – so as the data updates, your visual does too.

Prefer to adjust visuals manually? You can still use the Visual Options pane to fine-tune chart types, columns, or formatting to match your preferences.

Get Started

To try Copilot-assisted exploration:

  1. Open a Real-Time Dashboard in Fabric, and start chatting with your data using the Copilot pane on the right.

or

  1. Use the inline Copilot prompt on any tile.

You can also try Copilot-assisted exploration from Real-Time Hub.

To learn more, refer to the Explore data in Real-Time Dashboard tiles documentation.

Related blog posts

Copilot assisted real time data exploration (Preview)

January 12, 2026 by Tom Peplow

In October 2025, we introduced OneLake diagnostics—a powerful capability that helps teams “answer who accessed what, when, and how” across your Fabric Lakehouse environment. OneLake diagnostics streams JSON-based activity logs into a Lakehouse you choose, enabling rich analysis, governance, and compliance workflows. A powerful capability that helps teams “answer who accessed what, when, and how” … Continue reading “Gain even more trust and compliance with OneLake diagnostics immutability (Generally Available)”

January 8, 2026 by Adi Eldar

What if generating embeddings in Eventhouse didn’t require an external endpoint, callout policies, throttling management, or per‑request costs? That’s exactly what slm_embeddings_fl() delivers: a new user-defined function (UDF) that generates text embeddings using local Small Language Models (SLMs) from within the Kusto Python sandbox, returning vectors that you can immediately use for semantic search, similarity … Continue reading “Create Embeddings in Fabric Eventhouse with built-in Small Language Models (SLMs)”