Technology & AI

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A model drifts in production. An API provider changes pricing overnight. An AI feature hallucinates and costs a customer. Technology strategy is about technical debt, vendor risk, and deployment discipline. Write about building a proof of concept that actually tests the business case, not just the tech. Share deprecation planning for legacy systems, or how to evaluate build‑versus‑buy when both options feel wrong. Discuss the economics of open source versus licensed software, or how to handle a security breach without losing customer trust. Real examples: the SaaS startup that survived a database corruption, the enterprise that turned a failed AI pilot into a successful rules‑based system, how one CTO navigated a platform migration that took two years. No blockchain hype – just uptime, latency, and the engineer who knows where the bodies are buried.

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