Chat With Your Data: Copilot, Data Agents, Or

Apr 17, 2026 by Jule 46 views

Chat with Your Data: Copilot, Data Agents, or Databricks One? 🤖

Is Your Data AI Ready?

Before you dive into the world of conversational data analysis, it's crucial to ensure your data is ready for AI. This means more than just having data in a structured format. It's about making your data AI-ready.

Are Your 'Consumers' Ready for It?

While AI can generate instructions, documentation, and verified answers, it's essential to have a documentation system and process in place to guide the process. This ensures that the AI's outputs are accurate, relevant, and useful to your users.

Optimizing and Documenting Semantic Models

To succeed with chat-based data analysis, optimizing and documenting semantic models are still crucial, if not more important. These models help the AI understand the context and meaning of your data, enabling it to generate more accurate and relevant responses.

My Favorite Tools

Here are some of my favorite tools and resources to help you get started:

Notebooks: Jupyter Notebooks are a great way to document and share your data analysis code and results.
Scripts: Scripts can automate repetitive tasks and data processing steps, making your workflow more efficient.
Skills: Developing the right skills is key to working effectively with AI and data analysis tools.
Tabular Editor C# Macro: This is my new favorite tool for working with tabular data in C#. You can find it on slide 5 of the guide.

So, are you ready to start chatting with your data? With the right tools and processes in place, you can unlock the power of AI for data analysis and gain insights like never before.

Disclaimer: This article is based on the LinkedIn post by David Kofod Hanna and is intended to provide a unique and SEO-friendly perspective on the topic.