Skip to content
DSML.KZ
Publications

Talk · International Conference on Automation, Robotics and Applications · February 22, 2024

Review of Cloud AI for Real-Time Fraud Detection

Gulnara Abitova, Miras Abalkanov, Gulnara Abitova, Gulnur Shuteyeva, Elvira Aitmukhanbetova, Korlan Kulniyazova

Elvira Aitmukhanbetova
Open via DOI

Abstract

The paper presents a comprehensive analysis of the integration of Cloud AI in real-time fraud detection, highlighting significant advancements and practical applications. It is identifying a key challenge such as data privacy and the need for scalable solutions, while also exploring the potential of innovative AI algorithms and strategic partnerships to enhance fraud detection capabilities. Through detailed case studies, the work is demonstrated the effective application of Cloud AI across various sectors. The study concludes that Cloud AI, despite not being a complete solution, plays a crucial role in strengthening fraud detection systems. Our findings suggest that strategic implementation of Cloud AI can lead to more adaptive and efficient systems, thereby significantly contributing to the economic sector's resilience against fraudulent activities. This paper underscores the transformative impact of Cloud AI in fraud detection, offering insights into its future potential and laying the groundwork for further advancements in this field.

Imbalanced Data Classification TechniquesSpam and Phishing DetectionArtificial Intelligence Applicationsreal-time fraud detectiondata privacyscalability

More by Elvira Aitmukhanbetova