The essence of data science is under threat as the field increasingly prioritizes quick engineering solutions and automation over scientific rigor and problem-solving. With the rise of LLMs and complex models, many worry that the core value of data science is being diluted, leading to low ROI projects and a loss of innovation. This discussion explores the tension between business demands for immediate gains and the need for thorough analysis, as well as concerns about the commoditization of the field and the overemphasis on software engineering skills. Are we sacrificing the soul of data science for short-term wins? For advertising opportunities, visit Avonetics.com.

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