Unlock Geospatial Insights: Use Planetary Computer Pro in Azure
Want to unlock the power of geospatial data? Microsoft’s Planetary Computer Pro on Azure lets you build smarter AI applications! #Azure #GeospatialData #AI
Azure
Snowflake’s Openflow: Revolutionizing Data Ingestion for the AI Era
Tired of data bottlenecks slowing down your AI projects? Snowflake’s Openflow simplifies data ingestion, making AI integration seamless. #Snowflake #DataIngestion #AI
Multicloud Mastery: Developer Lessons from the Trenches
Struggling with multicloud? Learn essential lessons from engineering leaders on building across multiple cloud providers. Avoid costly mistakes and improve your strategy! #multicloud #cloudcomputing #developer
SQL Server 2025: Microsoft Unleashes AI Powerhouse for Enterprises
Microsoft beefs up SQL Server 2025 with vector search and more. Helping enterprises build AI-driven applications. #SQLServer #AI #VectorSearch
RHEL 10 Unleashed: AI-Powered Management & Post-Quantum Security
Tired of Linux admin headaches? RHEL 10 introduces AI-powered management for simplified commands! Boost efficiency & modernize IT. #RHEL10 #AIinIT #Linux
Microsoft’s Copilot Studio Upgrade: Agents Get Smarter and More Versatile
Unlock enterprise AI potential! Microsoft upgrades Copilot Studio with agent orchestration, computer control, and more. #CopilotStudio #AIagents #Microsoft
From $5k to Zero: How We Ditched Azure Redis for Memcached Savings
🚀⚡️💰 Over $5,000 in Azure Redis costs eliminated! See how we slashed our caching bill using Memcached and achieved significant savings. #AzureRedis #Memcached #CloudCost
Cloud & IT in a Geopolitical Storm: How to Build Resilient Systems
🚀⚡️💰Geopolitical risks are upending IT! Discover how to build resilient cloud strategies by embracing hybrid, multi-cloud, and proactive planning. #CloudStrategy #ITResilience #Geopolitics
Model Context Protocol (MCP): Standardizing AI Applications in Azure and Beyond
The article discusses the Model Context Protocol (MCP), an open-source standard designed to connect Large Language Models (LLMs) to applications and data, crucial for building reliable AI systems. It highlights Azure’s implementations, including the Azure MCP Server, offering a natural language interface to Azure services via tools like GitHub Copilot. The article also covers MCP’s integration within Azure AI Foundry and Semantic Kernel, emphasizing its role in creating discoverable interfaces and grounding AI applications.
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