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From agent-powered development to local AI labs — the future is distributed, intelligent, and seriously nerdy.
💡 Follow us for your weekly dose of AI, cloud, and FinOps decoded — minus the jargon.
#AzureWeekly #AITech #CloudNerds #TalkNerdyToMe
From agent-powered development to local AI labs — the future is distributed, intelligent, and seriously nerdy.
💡 Follow us for your weekly dose of AI, cloud, and FinOps decoded — minus the jargon.
#AzureWeekly #AITech #CloudNerds #TalkNerdyToMe
Double the defense, double the brains. 🧠🛡️
Microsoft’s latest framework secures both your data and the AI models protecting it.
Think of it as AI with a bodyguard and a lawyer.
The future of cybersecurity isn’t just human — it’s hybrid.
Double the defense, double the brains. 🧠🛡️
Microsoft’s latest framework secures both your data and the AI models protecting it.
Think of it as AI with a bodyguard and a lawyer.
The future of cybersecurity isn’t just human — it’s hybrid.
💻 Microsoft’s Phi-4 model can now run locally via Foundry Local.
That means your AI lab just went offline-first.
Edge computing, privacy, and sovereignty — all without losing GPT-class reasoning.
The next frontier? Tiny models. Huge impact.
💻 Microsoft’s Phi-4 model can now run locally via Foundry Local.
That means your AI lab just went offline-first.
Edge computing, privacy, and sovereignty — all without losing GPT-class reasoning.
The next frontier? Tiny models. Huge impact.
📍 Azure + ArcGIS = Spatial Intelligence at hyperscale.
Over 180 geo-analytics functions are now part of Microsoft Fabric Spark — fusing maps with machine learning.
🧠 “Where” finally meets “why.”
📍 Azure + ArcGIS = Spatial Intelligence at hyperscale.
Over 180 geo-analytics functions are now part of Microsoft Fabric Spark — fusing maps with machine learning.
🧠 “Where” finally meets “why.”
Microsoft just turned your IDE into a coworker.
🎯 The new AI roadmap for Visual Studio brings custom agents, GPT-5 Codex, and concurrent execution right inside your dev flow.
No more “debug hell.” Your agent can literally test, fix while you sip coffee.
Microsoft just turned your IDE into a coworker.
🎯 The new AI roadmap for Visual Studio brings custom agents, GPT-5 Codex, and concurrent execution right inside your dev flow.
No more “debug hell.” Your agent can literally test, fix while you sip coffee.
Azure just dropped a game-changer.
The Model Context Protocol (MCP) is now GA — connecting AI agents directly to 40+ Azure services.
Think of it as API diplomacy: your AI can now speak Azure natively, securely, and at scale.
Azure just dropped a game-changer.
The Model Context Protocol (MCP) is now GA — connecting AI agents directly to 40+ Azure services.
Think of it as API diplomacy: your AI can now speak Azure natively, securely, and at scale.
Here are 5 Azure stories you can’t afford to miss if you live, breathe, or occasionally panic over the cloud ⬇️
#Azure
Here are 5 Azure stories you can’t afford to miss if you live, breathe, or occasionally panic over the cloud ⬇️
#Azure
#Cloud #Automation #FinOps #AIagents #ClaudeCode
Learn the prompting techniques that actually matter.
No signup. No email. Just learn.
Start here:
👉 aiforall.cloudcostchefs.com/learn
Bookmark this if you want to master AI prompting 🔖
Learn the prompting techniques that actually matter.
No signup. No email. Just learn.
Start here:
👉 aiforall.cloudcostchefs.com/learn
Bookmark this if you want to master AI prompting 🔖
I use these techniques daily for:
• FinOps analysis
• Technical documentation
• Newsletter content
• Product strategy
They work. And they're simple enough to start using today.
I use these techniques daily for:
• FinOps analysis
• Technical documentation
• Newsletter content
• Product strategy
They work. And they're simple enough to start using today.
• Giving AI a role (expert personas)
• Formatting outputs (tables, lists, JSON)
• Chaining prompts (complex workflows)
• Refining results (iterative improvement)
Each lesson: 5-7 minutes. Real examples. Copy-paste templates.
• Giving AI a role (expert personas)
• Formatting outputs (tables, lists, JSON)
• Chaining prompts (complex workflows)
• Refining results (iterative improvement)
Each lesson: 5-7 minutes. Real examples. Copy-paste templates.