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作 者:余明超 Yu Mingchao(China Telecom Co.,Ltd.Beijing Branch,Beijing,100124)
机构地区:[1]中国电信股份有限公司北京分公司,北京100124
出 处:《市场周刊》2025年第6期76-79,共4页Market Weekly
摘 要:随着人工智能技术的深度演进,行业大模型作为驱动企业数字化变革的关键力量,正深刻重塑企业生产与价值创造模式。行业大模型能够自动化处理大量重复性任务,显著提升企业生产效率,为企业创造可观的经济价值。然而,行业大模型加速落地并非易事,企业仍面临诸多挑战。对此,文章首先阐述了行业大模型的概念,其次深入剖析了行业大模型在提升企业生产效率、释放经济价值方面的作用机制与主要瓶颈,最后提出了相应的优化策略,以期为企业科学应用行业大模型提供理论依据与决策参考,助力企业在数字化转型浪潮中实现可持续发展。With the deep evolution of artificial intelligence technology,industry models,as a key driving force for digital transformation in enterprises,are profoundly reshaping the production and value creation models of enterprises.The industry wide model can automate the processing of a large number of repetitive tasks,significantly improving the production efficiency of enterprises and creating considerable economic value for them.However,accelerating the implementation of industry models is not an easy task,and enterprises still face many challenges.This article first elaborates on the concept of industry big models,then deeply analyzes the mechanism and main bottlenecks of industry big models in improving enterprise production efficiency and releasing economic value,and finally proposes corresponding optimization strategies,in order to provide theoretical basis and decision-making reference for enterprises to scientifically apply industry big models and help them achieve sustainable development in the wave of digital transformation.
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