Power Query and AI: Harnessing the Power of Data

Disclaimer: This content is provided for informational purposes only and does not intend to substitute financial, educational, health, nutritional, medical, legal, etc advice provided by a professional.

Power Query and AI: Harnessing the Power of Data

Are you ready to take your data analysis and insights to the next level? With Power Query and AI, you can unlock the full potential of your data and make smarter decisions. In this article, we will explore how to connect to AI insights in Power BI Desktop and use pre-trained machine learning models to enhance your data analysis process.

In this article

  • Use Text Analytics and Vision
  • Use Azure Machine Learning
  • Related content
  • Feedback
  • Additional resources

Power Query and AI Insights in Power BI Desktop provide a powerful combination of tools that enable you to apply a collection of pre-trained machine learning models to your data. Whether you are a data analyst, a business intelligence professional, or a decision-maker, these tools can help you gain valuable insights and make data-driven decisions.

Use Text Analytics and Vision

Text Analytics and Vision are two essential components of AI Insights in Power BI Desktop. With Text Analytics, you can extract key information from unstructured text data, such as customer reviews, social media posts, and support tickets. This can help you understand sentiment, identify key phrases, and extract entities like people, organizations, and locations.

Vision, on the other hand, allows you to analyze images and extract valuable insights. Whether you want to detect objects, recognize faces, or extract text from images, Vision in Power BI Desktop can help you unlock the hidden value in your visual data.

Use Azure Machine Learning

Azure Machine Learning is another powerful tool that integrates seamlessly with Power Query in Power BI Desktop. With Azure Machine Learning, you can build, deploy, and manage machine learning models at scale. Whether you want to create a classification model, a regression model, or a recommendation system, Azure Machine Learning provides a wide range of algorithms and techniques to suit your needs.

By integrating Azure Machine Learning with Power Query, you can invoke machine learning models directly within your data transformation process. This allows you to enrich your data with predictions, classifications, and other machine learning outputs, making your analysis more accurate and insightful.

Related Content

To further enhance your understanding of Power Query and AI in Power BI Desktop, we recommend exploring the following resources:

  • Enable Text Analytics and Vision on Premium capacities
  • Available functions
  • Invoke Text Analytics or Vision functions in Power Query
  • Publish a report with Text Analytics or Vision functions
  • Manage impact on a Premium capacity
  • Compare Power Query and Power Query Online
  • Considerations and limitations of Text Analytics
  • Grant access to an Azure Machine Learning model
  • Schema discovery for Machine Learning models
  • Invoke an Azure Machine Learning model in Power Query
  • Considerations and limitations of Azure Machine Learning

Feedback

We value your feedback and suggestions. If you have any questions or comments about Power Query and AI in Power BI Desktop, please feel free to reach out to us. We are here to help!

Additional Resources

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Conclusion

Power Query and AI Insights in Power BI Desktop offer a powerful set of tools to enhance your data analysis and decision-making process. By connecting to AI insights and leveraging pre-trained machine learning models, you can unlock the hidden value in your data and gain valuable insights. Whether you are analyzing text data, visual data, or building machine learning models, Power Query and AI can help you harness the power of data.

Disclaimer: This content is provided for informational purposes only and does not intend to substitute financial, educational, health, nutritional, medical, legal, etc advice provided by a professional.