AI Platform for Banking

DataRobot AI Platform for Banking is uniquely designed for banks to confidently solve evolving challenges facing the banking industry. AI Platform for Banking enables banks to quickly embrace innovative opportunities to stay ahead of emerging threats and provide world-class service to ensure customer satisfaction.

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AI in Banking

Traditional methods of banking are growing more obsolete as market share is being gained by an emergence of organizations focused on integrating AI within their operations to digitize and personalize customer interactions. The deployment of AI is critical for banking organizations to remain competitive and solve its most complex challenges—from risk management at every level to detecting and preventing sophisticated fraudulent threats to quickly complying to regulations with automated compliance documentation. AI Platform for Banking is the solution to help retail and commercial banks tackle mounting pressures while delivering trusted, explainable outcomes that drive success.

DataRobot Customers Include 80% of the Top U.S. Banks and
40% of the Top Global Banks

See how AI Platform for Banking is transforming the banking industry

AI Use Cases in Banking

With AI Platform for Banking, retail and commercial banks have the opportunity to use data-driven solutions to solve their most important challenges and focus on creating positive customer experiences.

DataRobot AI Platform Partner Ecosystem

See how our partners utilize DataRobot AI Platform to activate the full potential of banking solutions.

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All Partners

Frequently Asked Questions

  • How are banks using AI?

    Banks are leveraging AI across business lines and within first, second, and third lines of defense (business/operations, risk management/information security, and audit, respectively). With easier deployment of DataRobot’s AI, banks can:

    • Comply to regulation with automated compliance documentation that ensures consistency of the documentation process with detailed model documentation created within seconds.
    • Deepen customer relationships with models that recommend relevant products and services.
    • Differentiate high-risk alerts from false alarms with suspicious activity detection models that detect unusual behavior and identify instances of money laundering.
    • Prevent and detect fraud in real time, reducing financial risk for their customers.

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