Abstract
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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CITATION STYLE
Stukalina, Y., & Zervina, O. (2023). BUSINESS DIGITAL TRANSFORMATION IN THE DATA-DRIVEN ECONOMY: ENHANCING VALUE WITH AI SERVICES. In 13th International Scientific Conference “Business and Management 2023.” Vilnius Gediminas Technical University. https://doi.org/10.3846/bm.2023.955
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