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AI Governance & Strategy
No buzzwords. No fluff. Just practical insights from real-world AI implementation at enterprise scale.
Published Insights
Writing that bridges the gap between AI theory and production reality. Based on years of building compliant systems at Fortune 50 scale.
From AI Pilots to Regulatory Readiness
The governance framework enterprise leaders are adopting to transition from AI experimentation to production-grade, compliant systems. Practical insights on navigating regulatory requirements while maintaining innovation velocity.
Why Enterprise AI Integration Strategies Fail
Analyzing the common architectural and organizational pitfalls that separate successful AI adoption from expensive experiments. What actually works when implementing AI at enterprise scale.
Upcoming Topics
Precision Drift Detection
Going beyond basic monitoring: How to detect subtle degradation patterns in production AI systems before they impact users.
LegacyShift Methodology
Systematic approach to modernizing legacy AI systems without introducing new compliance risks or operational disruption.
AI Governance at Scale
What changes when you need to govern not one AI system, but fifty. Lessons from enterprise implementation.
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