Ever wonder how to turn a pile of unstructured customer feedback into clear, actionable insights—all while keeping your data fully private?

Join us for a hands-on session with HP AI Engineer Ata Turhan, as he walks through a complete feedback analysis blueprint built entirely within HP AI Studio, using open-source and local tools like Llama.cpp, LangChain, LangGraph, MLflow, and Streamlit.

What to Expect

In this 45-minute live webinar, you’ll see how survey responses, internal notes, and even dogfooding data can be processed, summarized, and visualized through a local, interactive workflow. Everything runs directly in HP AI Studio—no cloud dependencies, no third-party data sharing.

What You’ll Learn

• How to summarize and analyze unstructured feedback using open-source LLMs

• How to deploy a full feedback analysis pipeline locally in HP AI Studio

• How tools like LangGraph and MLflow can fit into a reproducible, end-to-end workflow

• How to replicate the entire project in your own setup in under five minutes

Whether you're building a proof of concept, running internal testing, or just curious about what's possible with local AI workflows, this session will give you a practical starting point.

Register here -→ https://reinvent.hp.com/ai-studio-july31