What???!!!??? Forecasting with LLM and GenAI!

Today, we’re tackling a topic you probably haven’t seen before: how to forecast and make predictions in Microsoft Fabric using Generative AI and Large Language Models (LLMs).

While most videos focus on LLMs as assistants or copilots, I find that use case uninspiring and soon-to-be commoditized. Instead, I’m focused on logic intelligence—applying GenAI to core app logic, business, and data processing. In this video, we’ll cover:

  • Setting up the environment and data for predictions
  • Using LangChain and Azure’s OpenAI for data analysis
  • Predicting restaurant tips based on customer and waiter demographics
  • Comparing LLM-based predictions with traditional math-based methods

We’ll start with the setup, move to prompt creation, and show you how to leverage LLMs for accurate predictions. If you’re as tired as I am of hearing about assistants and copilots, and you’re ready to see how GenAI can actually drive business outcomes, you’re in the right place.

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