AI-Driven Dynamic Data Querying and Visualization with KQL and SQL

**Agenda:**
6:00 PM – 7:30 PM – AI-Driven Dynamic Data Querying and Visualization with KQL and SQL

**Abstract:**
In this session, you’ll learn how to leverage natural language to seamlessly query your data and dynamically bind the results to grids and charts, making data interaction more intuitive. We will explore techniques to query Log Analytics Workspace using Kusto Query Language (KQL) and Azure Cosmos DB using SQL queries. Using these powerful tools, you can extract valuable insights from your data in real time.
We will also discuss how to redefine user prompts for optimized data exploration, ensuring that you can more accurately project exactly what you’re looking for. By the end of this session, you will understand how to create a seamless flow between querying, data extraction, and visualization—all guided by natural language inputs.
Key takeaways include:

1. Using KQL to query Azure Monitor Log Analytics to extract relevant data for operational insights.
2. Performing SQL-based queries on Azure Cosmos DB to access and filter data at scale.
3. Binding data dynamically to grids and charts to provide real-time visualization of query results.
4. Utilizing natural language prompts to make querying intuitive allows non-technical users to interact with data quickly.
5. Redefining and refining prompts to better understand user needs and project precise outcomes.

This session is ideal for developers, data analysts, and IT professionals interested in interacting more effectively with data by leveraging the power of Azure services and natural language processing.