Fabric AI Retail Demo
Demonstrates how Microsoft Fabric serves as a unified data platform and strategic foundation for AI-driven use cases in the retail sector.
About
This demonstration project showcases the robust capabilities of Microsoft Fabric, highlighting its role as a comprehensive and unified data platform tailored for the retail industry. It illustrates how Fabric can streamline data integration, processing, and analytics, providing a strategic foundation for advanced AI-driven applications. The demo emphasizes preparing data for future intelligence scenarios, integrating Large Language Models (LLMs), machine learning workflows, and enabling data-driven automation, ultimately enhancing retail intelligence and operational efficiency from a single environment.
Key Features
- Implement DevOps practices, including deployment pipelines and GitHub integration for Fabric solutions.
- 0 GitHub stars
- Demonstrate Machine Learning integration with MLflow for model training and registration.
- Provide insights into utilizing AI skills with Data Agents within the Microsoft Fabric platform.
- Explore Medallion Architecture for structured data management within Fabric.
- Integrate AI and Large Language Models (LLMs) using Azure OpenAI and LangChain.
Use Cases
- Leveraging Large Language Models for tasks like literature review and data extraction in a business context.
- Building a unified data platform for comprehensive retail intelligence and analytics.
- Preparing and processing retail-specific data for advanced AI and machine learning applications.
Sponsored