AI IN COMBATING FRAUD AND IMPROVING CUSTOMER SERVICE IN UZBEK BANKS
Ключевые слова:
artificial intelligence (AI), fraud detection, customer service, machine learning algorithms, natural language processing, advanced analytics, real-time data analysis, anomaly detection, personalization of interactions, commerce and service sectors, ethical considerations of AI, predictive analytics, behavioral analysis, financial transactions, identity theft, e-commerce security, insurance fraud, credit card fraud, phishing scams, cybersecurity.Аннотация
This thesis explores the transformative impact of Artificial Intelligence (AI) on fraud detection and customer service within the commerce and service sectors. With the advent of advanced technologies, AI has emerged as a pivotal force, employing machine learning algorithms, natural language processing, and advanced analytics to address the dual challenges of fraud and customer interaction. This study delves into the capabilities of AI to parse extensive datasets, pinpoint anomalies, and customize interactions in real-time, thereby enhancing fraud detection mechanisms and elevating customer service experiences.
Библиографические ссылки
Fraud Detection System (FDS) with AI Technology | Penta Security https://www.pentasecurity.com/blog/fraud-detection-system-fds-with-ai-technology/
Fraud Detection Using AI In Banking – Youverify https://youverify.co/blog/fraud-detection-using-ai-in-banking
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Artificial intelligence in fraud detection – Wikipedia https://en.wikipedia.org/wiki/Artificial_intelligence_in_fraud_detection
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