After 20+ years in enterprise architecture, I’ve seen that infrastructure readiness matters more than model capability for agentic AI deployment. Gartner predicts 40% of projects will be cancelled by 2027 due to infrastructure gaps, not AI failures.
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2025 in Review: The Infrastructure Readiness Lesson
2025 taught enterprise technology leaders a critical lesson: infrastructure readiness matters more than model capability. This year-end review explores platform engineering, data governance, healthcare AI breakthroughs, and five predictions for 2026.
Read more →When AI Becomes the Architect: How Agentic Systems Are Redefining What Software Can Build Itself
🎓 AUTHORITY NOTE Based on 20+ years architecting enterprise systems and pioneering implementations of agentic AI in production environments. This represents real-world insights from deploying autonomous systems at scale. Executive Summary The moment I watched an AI system autonomously debug its own code, refactor a function, and then write tests for the changes it made, […]
Read more →Building Your First AI Agent with Microsoft Agent Framework (.NET) – Part 2
Build a production-ready Customer Support AI agent using C# and .NET 8. Complete tutorial covering project setup, tools, multi-turn conversations, middleware, and error handling.
Read more →Alternative Cloud AI Platforms: IBM watsonx, Oracle OCI, Databricks & Snowflake Deep Dive
Beyond AWS, Azure, and GCP—explore IBM watsonx, Oracle OCI, Databricks, and Snowflake AI platforms. Complete guide with architectures, code examples, and when to choose each platform.
Read more →Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)
Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.
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