The Impact of Artificial Intelligence and Big Data Analytics on Casino Operations: Enhancing Customer Experience and Revenue Management
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Advanced technologies such as Artificial Intelligence (AI), and Big Data Analytics have today affected almost all sectors, including the casino industry. This paper explores the profound impact these technologies have on casino operations, focusing on two critical areas: improving the relation between the organisation and the consumer and effective revenue realization. Integrated AI, through its features on machine learning, predictive analysis, and real time decision making, helps casinos in customized service delivery, efficient and effective operations as well as excellent customer relations. At the same time, Big Data Analytics allows operators to achieve value factor by gaining insight-driven knowledge from the huge volume of data regarding their customers’ behavior and preferences in order to create effective marketing and gaming strategies and tools.
AI and Big Data Analytics advancing in the field of revenue management through improved pricing, the predictive analysis of profits, and updating techniques that facilitate cost control and fraud monitoring improves profit and business performance. However, the use of these technologies has its drawbacks associated with the regulation of data, security, and highly expensive setup. To achieve the aim of this research and to provide real-life examples of how these tools are used in modern casinos, this paper looks at the best practices or models.
Lastly, the paper looks at emerging markets and the future of casinos, which include artificial intelligence immersive experiences and blockchain-based innovations. With their transition and placement in this digital age, the industry seeks to find the balance between technological application, customer satisfaction and ethical conduct. This study highlights how AI and BDA will revolutionise the experience at casinos for the future growth of this industry.
Copyright (c) 2024 Matti Slotte (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.