Models in the Middle: Rethinking the Dev Lifecycle for AI-Native Products
Aaron Wise
SDAILC merges software and AI lifecycles to build intelligent products that evolve with data and user feedback.
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Aaron Wise
SDAILC merges software and AI lifecycles to build intelligent products that evolve with data and user feedback.
Aaron Wise
Integrating AI/ML into the SDLC requires treating models as production code, with shared ownership, CI/CD pipelines, and cross-functional teams.
Aaron Wise
Build once, promote everywhere with immutable artifacts to ensure consistency and reduce deployment risk.