LLMs and Generative AI have changed the way we think about data science. But how much have they really changed the work of a data scientist? In this session we will look at a changes, what have stayed the same, and where traditional machine learning still fits in a increasingly dominated foundation models and AI tools in Microsoft Azure. In this session, we will explore what data looks like in Azure in the age of LLMs and GenAI. What has fundamentally changed? What remains the same and when should we use LLMS versus traditional learning and data science techniques. Through practical demos, we will explore how the data science workflow is evolving - from tools and programming languages to user experience, interacting with Azure portal and day-to-day development. And explore where LLMs can genuinely help us with smarter, faster, and more effective delivery.