Which of the following is a reason why data scientists would use generative AI?

Generative AI is particularly valuable for constructing analytical models with coding automation, as it can significantly streamline the model development process. By leveraging generative AI, data scientists can automate the coding required to build analytical models, thereby reducing the time and effort needed for model creation. This capability allows data scientists to focus on more complex tasks, such as interpreting results and deriving insights, rather than spending excessive time on routine coding. Furthermore, automation facilitated by generative AI can enhance consistency and accuracy in model development, leading to more reliable analytical outcomes.

In contrast, while curiosity, storytelling, and determining business needs are important components of a data scientist's role, generative AI specifically addresses the technical and procedural aspects of building models. Thus, the primary benefit of generative AI in this context is its ability to simplify and expedite analytical model construction through automation, making it a powerful tool for data scientists.