The rise of machine learning technology in recent years has provided businesses, particularly financial institutions, with advanced capabilities in preventing and detecting identity fraud at account opening. However, there are many arguments regarding the best practices in identity fraud defense, including the role of machine learning in pinpointing risks. The message is clear: a strong fraud defense requires machine learning, but equally requires strong underlying data and well-practiced fraud operations procedures to make it effective.
Businesses should consider a number of factors before moving forward with a machine learning-based fraud detection and prevention solution.
In this LIVE Webcast, a seasoned panel of thought leaders and professionals brought together by The Knowledge Group will provide and present an in-depth analysis of employing machine learning in detecting and preventing fraud. Speakers will also provide practical tips and strategies to ensure that potentials are maximized, and pitfalls are mitigated.
Some of the major topics that will be covered in this course are:
- Recent Identity Fraud Threats & Trends at Financial Institutions
- Critical Qualities of Identity Fraud Defense Strategies
- Fraud Prevention and Detection in Machine Learning – Fundamentals
- Practical Best Practices and Strategies in Fraud Defense
- What Lies Ahead