Fraud & Risk

Machine Learning in Action: How Gett Reduced Chargebacks by 80%

Saurabh Bajaj - Feedzai; Navot Oren - Gett

Presentation

As online fraud becomes more pervasive, machine learning is being used by a growing number of companies to augment their risk management platforms. In this presentation, Feedzai compares and contrasts machine learning with rules-based approaches, sharing insights on use cases where machine learning models are more effective at stopping fraud as well as instances when rules may be a more straightforward approach. Gett, an on-demand mobility company, then shares how they operationalized a machine learning platform and the resulting changes in their key performance indicators (KPIs). Feedzai then offers seven points to consider when adopting a machine learning solution.

Note that this presentation is also available as a Solution Spotlight webinar. To view the webinar, click here.

Machine Learning in Action: How Gett Reduced Chargebacks by 80%

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