GenAI May Code, But Can it Think Like a Data Scientist?

“ In data science, progress often comes from active disagreement and asking ‘what if we’re wrong?’ A step GenAI doesn’t handle well.”
Image by Nalini Nirad
Generative AI has entered the data science workflow with speed and scale. From drafting code snippets to helping with initial brainstorming, its utility is evident. Yet, when the conversation turns to judgment, nuance, or accountability, many data scientists argue that the boundaries become clear. While GenAI has already changed how certain tasks are done, sometimes reliance on it either does not make sense or may even be harmful, said Aashutosh Nema, lead data scientist at Dell Technologies, in an exclusive interaction with AIM.  “As a data scientist, I often use GenAI to help draft ideas or code quickly. But there are many parts of my work [for which] I still don’t rely on GenAI since it involves deeper judgment, nuance, or responsibility,” he said. The Spaces AI Cann
Subscribe or log in to Continue Reading

Uncompromising innovation. Timeless influence. Your support powers the future of independent tech journalism.

Already have an account? Sign In.

📣 Want to advertise in AIM? Book here

Picture of Ankush Das
Ankush Das
I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, Global SaaS, and Cloud. Have a tip? Reach out to ankush.das@aimmediahouse.com
Related Posts
AIM Print and TV
Don’t Miss the Next Big Shift in AI.
Get one year subscription for ₹5999
Download the easiest way to
stay informed