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Machine learning use cases in banking & insurance

 2 years ago
source link: https://www.neuraldesigner.com/solutions/solutions-banking-insurance
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Machine learning use cases in banking & insurance

Machine Learning Use Cases in Banking & Insurance

The analytics market in the banking and insurance sectors is undergoing impressive growth.

Indeed, organizations that incorporate those techniques into their daily operations not only better manage the present, but also increase the probability of future success.

Neural Designer is a data science and machine learning platform that helps banks and insurance companies to increase revenue, reduce costs and avoid risks. These solutions are described next.

Customer targeting

customer-targeting.webp

Identify who is interested
in your products and services.

Risk assessment

risk-assessment.webp

Evaluate risks by minimizing the impact
of unfortunate events, reducing costs.

Customer churn prevention

churn-prevention.webp

Identify customers likely to leave,
allowing companies to act on time.

Fraud detection

fraud-detection.webp

Identify which payments are
fraudulent and prevent them.

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