AI Governance Frameworks: Implementing Responsible AI

Three years ago, our AI system made a biased hiring decision that cost us a major client and damaged our reputation. We had no governance framework, no oversight, no accountability. After implementing comprehensive AI governance across 15+ projects, I’ve learned what works. Here’s the complete guide to implementing responsible AI governance frameworks. Figure 1: Comprehensive […]

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Azure Monitor: A Solutions Architect’s Guide to Enterprise Observability

Azure Monitor Architecture – Data Sources, Platform, Insights, and Actions Observability has become the cornerstone of successful cloud operations, and after two decades of building and maintaining enterprise systems, I can confidently say that Azure Monitor represents one of the most comprehensive observability platforms available today. The ability to collect, analyze, and act on telemetry […]

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FHIR Subscriptions: Building Real-Time Event-Driven Healthcare Apps

๐Ÿฅ HEALTHCARE INTEROPERABILITY SERIES This article is part of a comprehensive series on healthcare data standards and interoperability. HL7 v2: The Messaging Standard That Powers Healthcare IT Building GDPR-Compliant FHIR APIs: A European Healthcare Guide EMR Modernization: Migrating from Legacy HL7 v2 to FHIR HL7 v3: Understanding RIM and Why v3 Failed to Replace v2 […]

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RESTful AI API Design: Best Practices for LLM APIs

Designing RESTful APIs for LLMs requires careful consideration. After building 30+ LLM APIs, I’ve learned what works. Here’s the complete guide to RESTful AI API design. Figure 1: RESTful AI API Architecture Why LLM APIs Are Different LLM APIs have unique requirements: Async operations: LLM inference can take seconds or minutes Streaming responses: Need to […]

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