
The AI Roadmap Imperative: A CTO's Guide to Technical Readiness
Only 22% of organizations believe their architecture can support AI workloads without modifications. The CTO's job isn't to implement AI—it's to make AI possible.
Architecture decisions, build vs buy, and technical scaling.
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OpenAI's GPT Image 1.5 and Google's Nano Banana Pro landed weeks apart in December 2025. For the first time, we have two production-ready AI image generators competing at the highest level. Here's what CTOs and CMOs need to know—and why having both options changes everything.

Strategic infrastructure decisions for AI workloads—when to use cloud vs. on-premise, how to optimize GPU costs, and why hybrid approaches are emerging as the enterprise standard.

The hidden technical debt accumulating in AI systems is a ticking time bomb. Here's how CTOs can recognize, measure, and manage ML-specific debt before it cripples your AI initiatives.

A practical decision framework for CTOs navigating the critical choice between building custom AI solutions and leveraging vendor platforms—including when the hybrid approach makes the most sense.
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