Why Modern Data Teams Need AI Engineering Skills
Enterprise generative AI succeeds or fails on the quality of its data foundation. A polished chatbot cannot compensate for fragmented documents, weak metadata, unreliable SQL generation, or pipelines that lack governance. As organisations move from experimentation to production, experienced data professionals are being asked to support retrieval, grounding, orchestration, evaluation, and cost...
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