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‎0_Azure/WhatsNew/2_FabricConfVegas2025.md‎

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- [Transform and enrich data seamlessly with AI functions (Preview)](https://learn.microsoft.com/en-us/fabric/data-science/ai-functions/overview?tabs=pandas)
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- [Summarize text with the ai.summarize function](https://learn.microsoft.com/en-us/fabric/data-science/ai-functions/summarize?tabs=column-summary)
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</details>
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## Content
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<details>
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<summary><b>Table of Content</b> (Click to expand)</summary>
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- [Platform Enhancements](#platform-enhancements)
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- [OneLake Security Private Preview](#onelake-security-private-preview)
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- [Command Line Interface CLI](#command-line-interface-cli)
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- [Variable Library](#variable-library)
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- [Data Integration](#data-integration)
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- [Gateway Solutions](#gateway-solutions)
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- [Data Engineering & Data Science](#data-engineering--data-science)
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- [Fabric Data Agents Former AI Skills](#fabric-data-agents-former-ai-skills)
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- [Copilot & AI Features](#copilot--ai-features)
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- [Autoscale Billing for Spark](#autoscale-billing-for-spark)
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- [Copilot Improvements](#copilot-improvements)
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- [AI Functions](#ai-functions)
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- [Data Warehouse](#data-warehouse)
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- [Real-Time Intelligence](#real-time-intelligence)
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- [Power BI](#power-bi)
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</details>
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## Platform Enhancements
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- **Memory of Past Interactions**: Copilot tracks `historic interactions, enabling it to provide more personalized and relevant responses based on previous queries`.
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- **Improved Recommendations**: This feature helps in `refining suggestions and improving the accuracy of generated code or insights`.
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### AI Functions
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> Apply LLM models for summarization, text generation, classification, sentiment analysis, and translation.
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- Row-Level & Column-Level Security in Spark.
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| **Function** | **Description** | **Use Cases** | **Supported Environments** |
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|--------------------------|---------------------------------------------------------------------------------|---------------------------------------------------|----------------------------|
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| `ai.summarize` | Generates concise summaries of input text. | Summarizing articles, reports, and descriptions. | pandas, PySpark |
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| `ai.generate_response` | Produces coherent and contextually relevant text based on custom user prompts. | Creating content for blogs, stories, and marketing materials. | pandas, PySpark |
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| `ai.classify` | Categorizes input text values according to predefined labels. | Sorting emails, customer feedback, and social media posts. | pandas, PySpark |
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| `ai.analyze_sentiment` | Identifies the emotional state expressed in the input text. | Monitoring brand sentiment, analyzing customer reviews, and gauging public opinion. | pandas, PySpark|
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| `ai.translate` | Translates text from one language to another while maintaining context and meaning. | Translating documents, websites, and communication in multilingual environments. | pandas, PySpark|
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| `ai.extract` | Finds and extracts specific types of information from text. | Extracting locations, names, and other entities from text. | pandas, PySpark |
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| `ai.fix_grammar` | Corrects spelling, grammar, and punctuation in text. | Improving the quality of written content. | pandas, PySpark |
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| `ai.similarity` | Compares the meaning of input text with a common text value or corresponding text values in another column. | Finding similar text entries, deduplication. | pandas, PySpark |
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## Data Warehouse
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| **Category** | **Details** |
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|-----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Data Warehouse** | - **AI Functions**: Bring AI features to Data Warehouse, similar to Data Engineering & Data Science.<br/> - **User-Defined Functions (UDFs)**: Write custom Python functions and execute them directly through T-SQL.<br/> - **Migration Tool**: Public preview for migrating Azure Synapse Analytics warehouses to Fabric. |
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- **AI Functions**: Bring AI features to Data Warehouse, similar to Data Engineering & Data Science.
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- **User-Defined Functions (UDFs)**: Write custom Python functions and execute them directly through T-SQL.
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- **Migration Tool**: Public preview for migrating Azure Synapse Analytics warehouses to Fabric.
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## Real-Time Intelligence
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| **Category** | **Details** |
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|-----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Real-Time Intelligence** | **Streaming & Event Connectors**: New integrations for MQTT, Solace, ADX, Real-Time Weather, and Azure Event Grid.|
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> **Streaming & Event Connectors**: New integrations for MQTT, Solace, ADX, Real-Time Weather, and Azure Event Grid.
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## Power BI
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| **Category** | **Details** |
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|-----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Power BI** | - **Direct Lake Semantic Models**: Create models directly in Power BI Desktop, and use data from multiple OneLake sources.<br/> - **Datapoint Annotations**: Add descriptive text to specific data points directly in PowerPoint presentations.<br/> - **Copilot Improvements**: Ask data questions from your model.<br/> - **Notebook Tools**: Quickly analyze semantic models with pre-built notebooks for best practices and memory optimization. |
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- **Direct Lake Semantic Models**: Create models directly in Power BI Desktop, and use data from multiple OneLake sources.
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- **Datapoint Annotations**: Add descriptive text to specific data points directly in PowerPoint presentations.
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- **Copilot Improvements**: Ask data questions from your model.
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- **Notebook Tools**: Quickly analyze semantic models with pre-built notebooks for best practices and memory optimization.
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<div align="center">
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<h3 style="color: #4CAF50;">Total Visitors</h3>

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