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This book explores the vital intersection of AI and data security, stressing the need to safeguard sensitive information in intelligent systems. Part 1 introduces AI fundamentals and highlights why data security is critical as AI increasingly relies on large-scale data processing, making it vulnerable to threats. Part 2 outlines major risks like data poisoning, adversarial attacks, and model theft, along with protection methods such as encryption and differential privacy. Part 3 presents a case study on Google, examining how it manages data security and addresses real incidents. Part 4...

The book explores how customers' perceptions influence their adoption and usage of digital banking services across different demographic profiles. It examines various dimensions of perceived risk-such as financial, security, privacy, and performance risks-as well as perceived rewards, including convenience, speed, cost-effectiveness, and accessibility. The study compares responses from customers of public and private sector banks, highlighting differences in trust, technological readiness, and satisfaction levels. The findings reveal that while rewards drive adoption, perceived...