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Power BI Artificial Intelligence.md

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Power BI Artificial Intelligence (AI)


It is crucial for data analysts to explore and visualize data to help their stakeholders gain effective insights quickly. Business demands have evolved from executives asking what, which and when something happened, to asking why it happened and what will occur in the future. AI is the answer and Power BI adopted AI for analysts and business decision-makers!


AI is Changing Power BI

AI Insights

Smart Narrative

Key Influencers

  • Key influencers visualization
    • With categorical values, Key Influencers uses ML.NET to run logistic regression for categorical metrics, using the One-hot encoding, Replace missing value, and Normalize mean variance data transformations and the L-BFGS Logistic Regression algorithm. While in numerical values, Key Influencers uses ML.NET to run linear regression, using the same data transformations as the categorical key influencers and using the SDCA regression algorithm. On the other hand, the Top Segments uses ML.NET to run a decision tree, using Fast tree algorithms (categorical and numerical), to find interesting subgroups. learn more

Q&A

Quick Insights

Decomposition Tree

Column from an Example

Anomaly Detection

Clustering

Time Series

Python

R

Articles and Videos

Articles

Videos

  • AI in Power BI 📺 - AI can help everyone in an organization automatically find patterns in their data, understand what the data means, and predict future outcomes to help business drive results.
  • Microsoft Power BI: AI powered analytics - Come learn how to use AI in Microsoft Power BI to solve your business problems.