Forecasting with LLM and GenAI in Microsoft Fabric

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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