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
Data engineers build reliable data pipelines while ML engineers deploy models, but both must collaborate closely to bridge the data-to-insight divide.