Leveraging distinct Microsoft Fabric and Copilot capabilities for Anomaly Detection, using a synthetic dataset created with Azure OpenAI
Description
This project leverages a variety of Microsoft Fabric components to tackle the challenges of anomaly detection for time series data. It addresses the topic from 4 different angles:
within PowerBI
with KQL visuals
running a specific model within Notebook
creating a "low-code" model with the help of Azure OpenAI
Also, the data for this project was generated using Azure Open AI and to make it more realistic, it represents sales for a Global Retail Electronics Distributor.
Project name
Leveraging distinct Microsoft Fabric and Copilot capabilities for Anomaly Detection, using a synthetic dataset created with Azure OpenAI
Description
This project leverages a variety of Microsoft Fabric components to tackle the challenges of anomaly detection for time series data. It addresses the topic from 4 different angles:
Also, the data for this project was generated using Azure Open AI and to make it more realistic, it represents sales for a Global Retail Electronics Distributor.
Project Repository URL
https://github.com/ManriqueM/Microsoft-Fabric-Hackathon
Project video
https://vimeo.com/919018366
Team members
ManriqueM