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What actually works when AI meets production — implementation strategy, engineering practice, and the economics underneath.
A step-by-step AI implementation strategy for enterprises: how to pick the first use case, set ROI targets, choose build vs. buy, and ship to production in one quarter.
Most enterprise AI pilots die before deployment. Here are the five failure patterns I've seen in 11 years of shipping production AI, and how to avoid each one.
A practical framework for calculating AI return on investment — with real figures from deployments that saved $10M+ in cloud spend and cut contract review from hours to minutes.
Inside a production computer vision pipeline: pose estimation, temporal transformers, and the dataset engineering that makes real-time threat detection actually work.
Per-token APIs are the right start and the wrong destination. A cost and control framework for deciding when to fine-tune and self-host — from building Aldea's voice AI stack.
Individual AI models are not products. A practical guide to AI workflow orchestration — connecting vision, language, and predictive models into automation that runs a business.