Long-form frameworks, reference architectures, and field notes from real engagements. Practical takes you can put to work — not vendor brochures.
Artificial Intelligence
AI coding tools create false velocity: teams close 21% more tasks but spend 91% more time in code review. The five churn patterns — from escalating technical debt to security gaps — that quietly erode ROI, and how to manage them.
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Digital Transformation
How to identify the 20% of process changes that create 80% of the efficiency gains — applying the Pareto Principle with process and task mining, quantifying impact, and piloting automation where it counts.
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AI & Automation
AI is not a universal answer to automation. When deterministic logic should stay the backbone, where AI adds judgment — plus SLMs vs LLMs, multi-model deployments, and multi-agent architectures through a cost-efficiency lens.
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MLOps
DevOps ensures code reliability; MLOps must keep the full ML lifecycle healthy — data pipelines, training workflows, model artifacts, and drift monitoring. A comparative perspective across version control, CI/CD, testing, and monitoring.
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