分析微软云计算服务业务转型的成功原因

Zhihuan Ye
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摘要

随着高科技的不断发展,由于人工智能服务的出现,导致企业转型的趋势越来越明显,微软于 2010 年开始正式向云计算服务转型。本研究基于上述内容,旨在探究微软转型进入稳定期的原因。本文通过一个真实案例,结合微软的转型,分析了微软云计算服务和人工智能的商业价值。研究结果表明,人才储备、技术创新与积累、企业战略布局三个因素是微软云计算服务转型进入稳定期的原因。因此,微软需要吸引更多高素质的创新型技术人才,大力发展技术创新,加大研发投入,不断推进技术创新,强化核心业务,加大新兴领域投入,深化合作伙伴关系,加强全球布局,注重企业社会责任和可持续发展,以保持竞争优势,创造更多商业价值。本研究的价值和意义在于分析了微软在保持自身商业价值的前提下进行云计算转型的前瞻性,为微软的后续发展提供了新思路,也为同行业企业的转型提供了参考价值。
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Analyzing the Successful Reasons for Microsoft Cloud Computing Service Business Transformation
With the continuous development of high-tech due to the emergence of artificial intelligence services, resulting in a growing trend in enterprise transformation, Microsoft began to officially transition to cloud computing services in 2010. The purpose of this study, based on the above content, was to investigate the reasons for Microsoft's transformation into a stable period. This paper used a real-life case study to analyze the business value of Microsoft's cloud computing services and artificial intelligence in light of Microsoft's transformation. The study's results indicated that three factorstalent reserve, technological innovation and accumulation, and corporate strategic layoutare responsible for transforming Microsoft's cloud computing service into a stable period. Therefore, Microsoft needs to attract more high-quality and innovative technical talents; vigorously develop technological innovation; increase investment in research and development; and constantly promote technological innovation; strengthen the core business; increase investment in emerging areas; deepen partnerships; strengthen the global layout; and focus on corporate social responsibility and sustainable development in order to maintain its competitive advantage and create more business value. This study's value and significance lie in its analysis of Microsoft's forward-looking cloud computing transformation while still maintaining its business value, providing new ideas for Microsoft's subsequent development, and providing reference value for enterprises in the same industry in the transformation.
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