Case Study: Citi Ventures automates 80% of modeling and boosts data scientist productivity 10× with DataRobot AI Cloud

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Preview of the Citi Ventures Case Study

Citi Ventures Invests in DataRobot for Pioneering Automated ML

Citi Ventures, the innovation arm of Citibank, needed a way to scale AI and machine learning across Citi so data scientists and business users could build models faster and spend more time on complex business problems. To meet that challenge, Citi Ventures invested in DataRobot and adopted the DataRobot AI Cloud (including AutoML and Automated Time Series) to extend modeling beyond specialist teams and reduce time spent on data preparation.

With DataRobot AI Cloud, Citi automates about 80% of the modeling process and can tap into hundreds of millions of models, making data scientists roughly 10× more productive and freeing users to focus on higher‑value work. DataRobot’s platform has driven measurable gains in productivity and supports use cases across governance, fraud prevention, customer personalization, credit underwriting and hiring, with expected impact on revenue, cost, and risk/compliance.


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Citi Ventures

Vibhor Rastogi

Global Director of Artificial Intelligence and Machine Learning Investments


DataRobot

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