The Use of Artificial Intelligence in the Bank Card Industry
DOI:
https://doi.org/10.56345/ijrdv12n2s103Keywords:
AI, Banks, Bank Card Industry, etcAbstract
The integration of artificial intelligence (AI) in the bank card industry is revolutionizing traditional banking practices, enhancing security, and improving customer experience. AI-driven technologies, such as machine learning and natural language processing, are deployed to detect and prevent fraudulent activities, analyze transaction patterns, and provide personalized financial services. Advanced algorithms continuously monitor and evaluate transactions in real-time, identifying suspicious activities and reducing the risk of fraud. AI also enables the automation of customer support through chatbots and virtual assistants, offering immediate and accurate responses to customer inquiries.Moreover, AI-powered analytics provide banks with insights into customer behavior, enabling targeted marketing and customized product offerings. By leveraging AI, banks can offer tailored financial products and services that meet the specific needs and preferences of individual customers. This level of personalization enhances customer satisfaction and fosters loyalty, as customers feel more valued and understood. The adoption of AI in the bank card industry not only increases operational efficiency but also enhances customer trust by ensuring secure and seamless transactions. AI-driven solutions can detect unusual spending patterns and flag potentially fraudulent transactions, providing an additional layer of security for customers. As AI technology continues to evolve, its role in the banking sector is expected to expand, further transforming the landscape of financial services. Furthermore, AI can aid in regulatory compliance by automatically detecting and reporting suspicious activities in line with anti-money laundering (AML) regulations. The continuous advancements in AI technology offer the potential for even greater innovations, making the bank card industry more efficient, secure, and customer-centric.
Received: 05 July 2025 / Accepted: 30 August 2025 / Published: 25 September 2025
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