What Azure tool can you use for creating interactive dashboards to visualize AI model outputs?

Power BI is an effective tool for creating interactive dashboards that visualize AI model outputs. It allows users to transform complex data sets into understandable visual representations, making it easier to derive insights from data generated by AI models. With its extensive data visualization capabilities, Power BI can connect to various data sources, including those that store model outputs, enabling users to create customized reports and dashboards tailored to their specific needs.

Utilizing Power BI, users can implement features like real-time data tracking, drill-down analysis, and interactive visualizations. This capability is particularly useful when analyzing trends, performance metrics, or predictions produced by AI models, thereby helping stakeholders understand the impact of AI-driven insights in a more intuitive way.

In contrast, Azure Data Factory is primarily designed for data integration and ETL (extract, transform, load) processes rather than visualization. Azure Logic Apps focuses on automating workflows and integrating apps and services, which does not cater to data visualization needs. Azure DevOps is aimed at facilitating software development processes, including version control and CI/CD pipelines, and does not provide the specialized visualization tools required for displaying AI output. Power BI stands out as the appropriate choice for visualizing data effectively.