The boundaries of what AI can do in data analysis are shifting fast—but so is the confusion about where automation helps and where it falls short. For data analysts and scientists, understanding the real capabilities and limits of agentic AI is now a core professional skill. Knowing when to automate, when to collaborate with AI as a copilot, and when human judgment is irreplaceable is what separates effective practitioners from those left behind.
In this code-along webinar, Dave Wentzel, Technical Evangelist at Microsoft’s Innovation Hub, walks you through how to approach agentic data analysis in practice. You’ll explore the tech stack powering agentic analytics, learn how to “think meta” for sharper AI-assisted problem solving, and understand how these shifts are reshaping data analysis roles and careers.
Key Takeaways
- Learn what AI can and can’t do in data analysis — where to automate, where it works as a copilot, and where human judgment is essential.
- Explore the tech stack behind agentic data analytics and get hands-on building agentic workflows.
- Understand how to “think meta” for better AI-assisted problem solving, and what agentic AI means for data analyst roles and careers.
