Machine Learning is the only way to fight fraud скачать в хорошем качестве

Machine Learning is the only way to fight fraud

In this episode, Radhika Khatod, Group Product Manager for Machine Learning at Alloy, shares insights into how machine learning is revolutionising fraud prevention in financial services. She discusses the complexities of modern fraud, the limitations of rule-based systems, and the future of AI-driven detection methods. Key Topics • The complexity of modern fraud and adversarial actors • Limitations of static rule-based fraud detection systems • How machine learning models improve accuracy and reduce false positives • The rise of synthetic identities and deepfake scams • The importance of explainability and trust in AI models Chapters 00:00 Introduction to Fraud and Machine Learning 01:48 The Evolution of Fraud Tactics 05:38 The Shift from Rules to Machine Learning 08:27 Challenges in Adopting Machine Learning 10:38 Understanding AI and Machine Learning Terminology 12:16 Building Trust in Machine Learning Models 14:33 The Role of AI in Fraud Analysis 18:06 The Importance of Data in Fraud Detection 19:24 Distinguishing Between Normal Fraud and Coordinated Attacks 25:48 Global Perspectives on Fraud Prevention 29:14 Fintechs vs. Traditional Banks in Fraud Prevention 31:21 Challenges in Building Fraud Prevention Tools 33:21 The Future of Fraud Detection and Prevention #ai #fraudprevention #fintech #machinelearning #frauddetection