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AI in Power BI
Elevate Your Business Insights with Integrated AI

AI in Power BI
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What is AI in Power BI?

Microsoft Power BI integrates powerful Artificial Intelligence (AI) capabilities to help users uncover deeper insights from their data more easily. These features allow individuals, regardless of their technical expertise, to explore data using natural language, automatically detect patterns and anomalies, and generate predictive insights without needing to write complex code or prompts.

Leveraging AI directly within the Power BI environment streamlines the data analysis process. Users can benefit from automatically generated narrative summaries of their reports, identify key drivers behind outcomes, and even integrate custom machine learning models built with Azure Machine Learning or utilize pre-built cognitive services for tasks like sentiment analysis. This integration aims to make advanced analytics accessible and actionable for everyday business intelligence tasks.

Features

  • Natural Language Q&A: Ask questions about your data in plain English.
  • Smart Narratives: Automatically generate textual summaries of reports and visuals.
  • Quick Insights: Automatically discover patterns, outliers, and trends in your data.
  • AI Visuals: Utilize pre-built visuals like Key Influencers, Decomposition Tree, and Anomaly Detection.
  • Azure ML Integration: Build, train, and integrate custom machine learning models.
  • Azure Cognitive Services Integration: Apply services like sentiment analysis and key phrase extraction (Requires Premium).
  • Copilot in Fabric Integration: Use generative AI for report creation, DAX suggestions, narrative summaries, and data exploration.

Use Cases

  • Identifying key drivers influencing business metrics.
  • Automatically generating narrative summaries for reports.
  • Detecting anomalies in sales or operational data.
  • Predicting future trends based on historical data.
  • Simplifying data exploration for non-technical users.
  • Enhancing reports with sentiment analysis of customer feedback.
  • Accelerating report creation and DAX measure writing.

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