Leverage Azure OpenAI in a Fabric Jupyter notebook to summarize user review data, securely store secrets in Azure Key Vault, and handle data in Fabric Lakehouse’s Delta tables.
This video shows you how to use Azure AI sentiment analysis machine learning models within a Fabric Jupyter notebook to add user sentiment features to Data Lake tables.
We can leverage Azure AI services directly in Spark notebooks to enrich and transform data using Language AI Services. Learn how to use these powerful services using a Python Jupyter notebook stored in a Fabric workspace.
In this post learn how to build a Document Intelligence solution within Microsoft Fabric. This solution incorporates Azure AI to extract text from scanned documents. Using a Spark Notebook and Synapse ML, we can easily ingest scanned document data into a Data Lake solution.
Azure AI Document Intelligence can read images and PDF scans of forms, extracting data for later use in data solutions. While various language SDKs are available, it's also possible to call these services directly using the REST API. This tutorial walks through the REST API process.
This video is an end--to end walk through using Microsoft Copilot Studio to create a custom Microsoft Teams copilot that answers questions about organizational data. The walk through starts from scratch and ends with a finished Copilot published to a Teams channel.
My playlist of important AI practitioner focused sessions from Microsoft Ingnite 2023
This post discusses Azure AI Search integrated vector embeddings for Retrieval Augmented Generation (RAG) when using a large language model for generative AI Q&A solutions, and provides steps to build a vector index using Azure AI Search.
This post explains how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development in Fabric Data Science.