数据驱动经济中的商业数字化转型:利用人工智能服务提升价值

Yulia Stukalina, Olga Zervina
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摘要

本文的目的是探索尖端的基于人工智能的解决方案,为多业务公司提供在数字化转型议程中增加业务价值的能力。确定并描述了扩大业务战略的主要要素,其中人工智能创造了业务价值。该方法包括二级研究,包括审查和解释二级数据,分析公开可用的统计数据,以及从特定示例(公司)提供事实证据的案例研究,这是商业数字化转型的最佳例证之一。研究表明,如今,数据已经成为数据驱动商业模式创新、实现商业价值最大化的关键资源。这些结果应该有助于辩论人工智能对商业领袖在制定规模扩大战略的议程中意味着什么,以及他们将如何从建立一家人工智能驱动的公司中受益。
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BUSINESS DIGITAL TRANSFORMATION IN THE DATA-DRIVEN ECONOMY: ENHANCING VALUE WITH AI SERVICES
The purpose of the paper is to explore cutting-edge AI-based solutions applied for providing a multi-business company with the capability to increase business value in the agenda of digital transformation. The main elements of a scale-up business strategy, where AI creates business value, are identified and described. The methodology includes secondary research involving reviewing and interpretation of secondary data, analysis of publicly available statistical data, and a case study for providing factual evidence from a specific example – the company, which is one of the best illustrations of business digital transformation. The conducted research shows that today, data has become key resource for data-driven business model innovation and maximizing business value. The results are supposed to contribute to the debate what AI means for business leaders in the agenda of developing a scale-up strategy, and how they would benefit from building an AI-powered company.
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