Agentic AI for your exploratory data analysis

Exploring Taylor Swift's lyrics with coding assistants
Large Language Models have enabled agentic AI frameworks that help teams rapidly build applications and tools with AI coding assistants. In this talk, we'll focus on how data scientist and analysts can use these agentic tools to accelerate their Exploratory Data Analysis (EDA) and communicate what they find with stakeholders. After all, traditional EDA will never go out of style.
This will be an interactive session with audience participation. We'll discuss the evolution of these tools, how we can use them responsibly, and most importantly, explore the intricacies of Taylor Swift's music.
You will leave with a shared AGENTS.md file so you can use it in future exploration, along with some other resources on using AI in your workflow effectively and responsibly.

Our Speaker:
Matt Leary is a product manager at Posit (formerly RStudio), a software company with the mission is to create open-source software for data science, scientific research, and technical communication. Matt's previously worked in PR and data science across state government, federal government, and insurance. His household is 75% confirmed Swifties. If knowing the name of at least one of her cats counts as being a Swiftie, that number jumps to 100%.