How to use Power BI Copilot and AI
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How to use Power BI Copilot and AI
Microsoft Fabric and Copilot
Copilot in Microsoft Fabric is an AI-enhanced toolset tailored to support data professionals in their workflow. It provides intelligent code completion, automates routine tasks, and supplies industry-standard code templates to facilitate building robust data pipelines and crafting complex analytical models.
Utilizing advanced machine learning algorithms, Copilot offers contextual code suggestions that adapt to the specific task at hand, helping you code more effectively and with greater ease.
Microsoft Fabric’s Copilot for Data Science and Data Engineering
Microsoft Fabric’s Copilot is an AI assistant that helps analyze and visualize data. It works with Lakehouse tables and files, Power BI Datasets, and pandas/spark/fabric dataframes, providing answers and code snippets directly in the notebook. The most effective way of using Copilot is to add your data as a dataframe.
Copilot in Microsoft Fabric is designed to handle large datasets effectively.
Dataframe Usage: The most effective way of using Copilot is to add your data as a dataframe1. This allows Copilot to efficiently manage and process large datasets.
Data Understanding: Copilot understands your data’s schema and metadata. If data is loaded into a dataframe, it has awareness of the data inside of the data frame as well1. This understanding allows it to handle large datasets intelligently.
Code Generation: You can ask Copilot to provide insights on data, create code for visualizations, or provide code for data transformations1. This can be particularly useful when dealing with large datasets, as it can automate many tasks that would otherwise be time-consuming.
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