AI-Generated Data: Guardians of Privacy or a Trojan Horse?
Anastasia Simou
Accenture
Synthetic data feels like a safe solution, but sometimes it carries risks teams overlook. Anastasia highlights the privacy challenges that come with AI generated data and how to use it responsibly so that AI becomes a protector of privacy instead of an unexpected source of exposure.
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About Me!
Ever since I remember myself as a kid, I always loved to solve complex mathematical problems, and always enjoyed thinking of innovative ways to approach them. And this passion for problem solving has been a driving force throughout my career. My diploma in Mathematics provided me with a strong foundation of analytical thinking and attention to detail and a solid background in both pure and applied mathematics. During my studies, the fascinated world of data, the process of discovering patterns and understanding them sparked my interest and inspired me to delve deeper and gain expertise in this field. Since I started working at Accenture, I am specializing in Test Data Management. My goal is to drive innovation in test data management practices, ensuring they align with both business needs and data privacy regulations. With hands-on experience in test data solutions and data privacy, I am passionate about implementing best practices that enhance software quality and security.