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Key components of Microsoft Data and AI include:

1. Azure AI: This is a set of AI services and tools within Microsoft Azure that allow organizations to build and deploy AI models for tasks like image recognition, natural language processing, and predictive analytics.
2. Azure Databricks: A collaborative analytics platform that combines Apache Spark with Azure data services to process and analyze large datasets.
3. Azure Machine Learning: A service that enables data scientists and developers to build, deploy, and manage machine learning models at scale.
4. Power BI: A business analytics service that provides interactive visualizations and business intelligence capabilities with an easy-to-use interface.
5. Azure Synapse Analytics (formerly SQL Data Warehouse): A cloud-based analytics service that brings together big data and data warehousing into a single unified platform.
6. Azure Cognitive Services: A collection of AI services that provide capabilities such as computer vision, speech recognition, language understanding, and more.
7. SQL Server: Microsoft’s relational database management system that supports efficient data storage, management, and querying.
8. Microsoft 365 AI: AI-powered features integrated into Microsoft 365 applications like Outlook, Word, Excel, and PowerPoint to enhance productivity and collaboration.

Overall, Microsoft Data and AI offerings enable organizations to unlock the value of their data, make informed decisions, automate processes, and develop intelligent applications that improve user experiences and drive innovation.