Machine learning in fraud analytics – Getting it right

Over the past couple of years, financial institutions have made significant achievements in the fight against fraud by embracing machine learning analytics and advanced artificial intelligence (AI).

The strategic use of machine learning can be a powerful tool in making fraud analytics more accurate and efficient. However, as organisations strive towards adaptable fraud detection analytics, they must overcome roadblocks such as model governance and complex data integration.

Key topics discussed in this webinar:

• How firms are using AI and machine learning for end-to-end fraud detection, fraud prevention and operational processes
• Whether model risk governance is a friend or a foe
• How organisations are dealing with the challenge of explainability
• How financial institutions use the power of the many to identify new threats earlier.

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