Machine Learning Use Cases in Banking & Insurance

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

Indeed, organizations that incorporate that 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

Identify who is interested
in your products and services.

Risk assessment

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

Customer churn prevention

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

Fraud detection

Identify which payments are
fraudulent and prevent them.

Other sectors:

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