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Kernels Behind the Wall: Custom Python 3.10-3.14 Jupyter Kernels for Air-Gapped Azure ML
This guide demonstrates building custom Python 3.10-3.14 Jupyter kernels for air-gapped Azure ML instances using conda-pack, private endpoints, and offline installation to overcome repository and kernel limitations.
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AI ethics: Why opting out isn’t always the ethical move
Opting out of AI ethics discussions misses opportunities to address critical issues such as water usage, job displacement, and copyright problems through informed engagement.
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Monitoring & Observability in Microsoft FoundryPart 2: Configuration and Operations
Monitoring & Observability in Microsoft Foundry Part 2 covers configuring Application Insights, operating in Azure Monitor, and setting up alerts for maintaining AI agent accuracy, safety, efficiency, and consistency.
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Understanding Token Cost Anatomy: The Five-Headed Bill Nobody Budgeted For
The article explains that AI spending can be broken down into five distinct cost categories-API calls, model compute, data ingestion, prompt engineering, and storage-helping teams understand where their budget goes beyond just total costs.
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Available today: OpenAI’s GPT-5.6 in Microsoft 365 Copilot
OpenAI's GPT-5.6 integrates into Microsoft 365 Copilot across Word, Excel, PowerPoint, Chat, and Cowork, boosting multi-step knowledge work with enhanced reasoning while upholding enterprise security and compliance.
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Microsoft Foundry Model Deployment Pricing Update
Microsoft Foundry will raise prices for EU and non-US deployments by 10-50% starting September 1, 2026, and introduce an APAC Data Zone.
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Tokenomics | The new AI currency & your options explained
Learn how to optimize AI token usage with strategies like compressing conversation history, capping output tokens, caching static context, and using tools such as Agent Optimizer and Model Router in Microsoft Foundry for smarter app design and reduced spend.
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GCast 220: Creating a Workflow in Microsoft Foundry
GCast 220 explains how to build sophisticated, multi-agent applications in Microsoft Foundry using its Workflow tool, enabling complex automation with no coding required.
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Foundry IQ is now in Copilot Studio: Bring your enterprise data to every agent conversation
Foundry IQ's integration into Copilot Studio boosts AI agent performance by 54%, offering enterprise-ready features such as Customer-Managed Keys, ACLs, and compliance certifications for secure and governed data access.
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Who actually blocks AI in healthcare (and why)
Healthcare AI deployments frequently stall due to structural barriers such as physician autonomy, works council surveillance concerns, patient privacy worries, legal liability fears, and CISO security vetoes, which are often not addressed by standard readiness checklists.
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Before You Ship Your Agent: A Five-Step Path to Evaluations You Can Trust
Before shipping your AI agent, ensure you have multi-turn evaluated sessions, a clear rubric defining "good," simulated real-user conversations, sampled production traces for comprehensive coverage, and benchmarked standards to continuously validate quality.
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Multi-Agents in RavenDB
RavenDB's multi-agent system enables creation of specialized agents coordinated via simple SubAgents configurations, reducing complexity and maintaining strict control.
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Introducing Kimi K2.7 Code in Microsoft Foundry
Kimi K2.7 Code on Microsoft Foundry boosts long-horizon coding efficiency by cutting token usage by 30%, while providing enterprise-level security, quicker deployment, and smooth integration with GitHub Copilot and VS Code.
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Matthew Renze: AI Changes - Episode 409
Matthew Renze, a nine-time Microsoft MVP in AI and founder of Renze Consulting, discusses the evolution of AI integration-from simple assistant interactions to autonomous agency leadership-highlighting tools like OpenClaw, Hermes, and PaperClip AI.
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Token Economics: The New FinOps for Agentic AI
Token economics manages costs in agentic AI by using caching, tiered pricing, and context compression to lower expenses without sacrificing performance.