The rapid rise of generative artificial intelligence is reshaping data production, knowledge acquisition, organizational decision-making, and professional education. For the program of Big Data Management and Application, this change is not merely an update of teaching tools or the addition of AI-related content, but a systematic reconstruction of its rationale, knowledge structure, competence objectives, and talent cultivation model. When generative AI can assist with code generation, text processing, modeling, report writing, and visualization, low-level, procedural, and template-based analytical skills are increasingly compressed. Professional education must therefore reconsider what kind of graduates this program should cultivate and how it can establish irreplaceable disciplinary value.
Amazon MarketplacePagina's: 544, Paperback, LAP LAMBERT Academic Publishing
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