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Bridging the Gap between Expertise and Implementation
Modeling approaches in industry are evolving, particularly with the rise of generative AI, which is diminishing the divide between domain experts and the technical infrastructure. Traditionally, software engineers and infrastructure specialists operated separately from business analysts and domain experts, with data scientists serving as intermediaries. However, in the generative AI landscape, domain experts and business people are increasingly able to directly engage with models, prompting and guiding their functionality without extensive fine-tuning from data scientists. This shift signifies a transformation in how expertise and technical execution coexist in the modeling process.