From the course: Building Generative AI Apps to Talk to Your Data

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Setting up the app

Setting up the app - Snowflake Tutorial

From the course: Building Generative AI Apps to Talk to Your Data

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Setting up the app

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- Imagine I'm a product manager working with a data engineering team that is tracking feature adoption metrics. Before we had built our own Texas Equal Workflow, my team wasted hours writing requests for data. Then we waited for analysts to process those requests. And then, we would spend time clarifying follow-ups when the results were incorrect. This happened even for simple questions like how many users used feature X this week. We'd go back and forth with this and it delayed decision making and it frustrated everyone involved. To solve this problem, we shifted and created the Semantic model that powered a text's equal workflow. This model bridged the natural language queries of the users and the database, allowing team members to type queries like show active users last week. And this allowed us to immediately get accurate results. This workflow not only removed bottlenecks, but it also empowered my team to explore data on their own and make faster and more agile decisions…

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