The three main channels where banks can use artificial intelligence to save on costs are front office (conversational banking), middle office (anti-fraud) and back office (underwriting)
Monitor financial transaction on real time powered with state-of-art algorithms designed by top data scientists to detect hidden patterns to identify complex fraud.
banks can move to a deeper, more nuanced understanding of their at-risk customers. With this more complex picture, customers can be classified into microsegments and more targeted—and effective—interventions can be designed for them
By dividing a customer base into specific groups, institutions can use predictive analytics to make forward-looking decisions to tailor content to unique audiences.
determine the creditworthiness of clients by analyzing data from a wide range of traditional and non-traditional data sources. This helps lenders develop innovative lending systems backed by a robust credit scoring model, even for those individuals or entities with limited credit history.
Optimize different prices for its products and services through different channels to increase revenue and better customer royalty.
Drive optimal strategies for customer retention and win back. Manage campaign output for cross-selling and upselling.
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