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The banking industry is adopting AI

Every year, banks face $31.26 billion dollars’ worth in fraud, along with $1.65 trillion dollars’ worth in declined transactions. AI helps to lower those numbers by helping banks optimize their business practices.

Common challenges in banking:

  • Fraud detection
  • Risk assessment and protection

Credit Risk Scoring

AI-powered assessments help risk teams to maximize their resources and deliver better risk protection.

Product and Service Recommendation

Machine learning uncovers patterns to help analysts better personalize your financial service recommendations, effectively increasing customer conversion rates.

Customer Churn Prediction

AI-driven evaluations identify customers who are likely to turn over, helping banks address and prevent attrition before it happens.

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