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How Elula’s AI solution helps banks predict and reduce churn

For banks, the cost of acquiring a new customer is four times higher than retaining an existing one, so client retention and reducing churn rates are top priority. Elula’s Artificial Intelligence-as-a-Service (AIaaS) solutions help banks predict customer churn and retain high risk customers through personalised conversations at scale. To build a world-class machine learning platform Elula turned to AWS cloud for its scale, automation and enterprise-grade security.

Watch this on-demand webinar to hear how Elula uses AWS to power its AIaaS solution. You’ll hear from Josh Shipman, Chief Executive Officer and Toby Ruby, Head of Engineering share how they’re helping banks reduce churn rates, saving their customers hundreds of millions dollars in revenue.

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Predicting buying behaviour: How Quantiful trained its AI to make customer demand forecasts for complex enterprise businesses
Predicting buying behaviour: How Quantiful trained its AI to make customer demand forecasts for complex enterprise businesses

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