<ul><li>Large language models enable users to interact with data systems through natural language, making data analysis more accessible.</li><li>AI automates repetitive data preparation tasks and streamlines the data cleaning and transformation process.</li><li>AI enhances data presentation and comprehension through generated graphical representations.</li><li>AI assists in analyzing sentiment of unstructured data sources and provides valuable context to datasets.</li><li>Challenges in deploying AI in BI include user adoption, integration, and collaboration.</li><li>Tips for successful integration of AI in BI include defining objectives, adopting an iterative approach, investing in data governance, starting with pilot projects, and upskilling the workforce.</li></ul>

Integrating AI in Business Intelligence: Use Cases, Challenges, and Tips

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