Architecting AI-SDLC: Five Lessons For DevSecFinOps Teams

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Using AI in enterprises is challenging due to issues like cognitive debt, unpredictable token consumption, and the need for strict governance.
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Using AI in enterprises is challenging due to issues like cognitive debt, unpredictable token consumption, and the need for strict governance. To succeed, teams must overhaul their SDLC, prioritize deep comprehension, and implement FinOps, live hooks, and a hierarchical topology to manage AI-induced complexity.