A finance and AI systems professional questions the value of learning Machine Learning (ML) directly, suggesting that focusing on effective data preparation for AI systems might be a more beneficial skill. The user posits that AI can already apply ML to applications as well as any engineer, shifting the critical expertise to data curation. They are seeking insights into why ML might still be worth learning or how to develop skills that AI cannot replicate. AI
IMPACT Questions the future demand for traditional ML skills, suggesting a pivot towards data preparation expertise for AI systems.
RANK_REASON The cluster is a user opinion piece questioning the value of a field, not reporting on a new development.
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