5 Benefits of AutoML in 2025 based on 68 case studies

DataRobot helps the Michigan Center for Integrative Research in Critical Care (MCIRCC) apply data science to improve patient outcomes. By using DataRobot's automated machine learning platform, MCIRCC reduced model development time, explored relevant data points, and implemented predictive solutions. One project involves predicting Hemodynamic Instability in intensive care patients, potentially saving lives. DataRobot's platform also aids in explaining solutions to the FDA, speeding up the approval process and enabling more lives to be saved. Read More

Steward Health Care, a for-profit private hospital operator in the United States, used DataRobot's solution to improve operational efficiency and reduce costs. By leveraging predictive analytics and machine learning, Steward Health Care was able to optimize hospital staffing volume, resulting in significant savings. The company also utilized DataRobot to predict and reduce patients' length of stay, further improving patient outcomes and reducing costs. Read More

Harmoney, a marketplace lender in Australasia's personal loan market, uses DataRobot to automate the development and deployment of machine learning models. By leveraging machine learning, Harmoney has improved the efficiency of credit applications, reduced default risk, and gained momentum in a highly competitive market. Read More

Trupanion, an insurance company for cats and dogs, increased productivity by 10X with DataRobot. They were able to build models faster, optimize business processes, prevent customer churn, and gain insights for strategic development. DataRobot provided an intuitive and easy-to-use solution that allowed Trupanion to deliver more models with higher accuracy without hiring more data scientists. Read More

DonorBureau, a professional services company based in the United States, used DataRobot's predictive analytics solution to improve the efficiency of their fundraising campaigns. By leveraging predictive modeling, DonorBureau was able to identify loyal supporters, personalize campaigns, and increase their clients' Lifetime Value per Donor. The implementation of DataRobot's solution resulted in a 10% improvement in accuracy, reduced total cost of ownership, and faster model generation. Read More

Avant, a leading online lending platform, used DataRobot's Managed AI Cloud solution to democratize data science and improve their loan decision-making process. By leveraging machine learning, Avant's models and underwriting process became more accurate, resulting in better risk assessment. DataRobot's platform allowed Avant's data scientists to focus on valuable long-term development work, saving time and improving efficiency. Read More

Evariant, a healthcare CRM solutions provider, used DataRobot's automated machine learning platform to speed up their predictive analytics process. By automating and semi-automating the predictive modeling processes, Evariant was able to generate thousands of validated predictive models, significantly increasing their output. This allowed them to better utilize resources, improve client involvement, and optimize marketing efforts, leading to increased ROI. Read More

Lenovo Brazil uses DataRobot to predict sell-out volume among retailers, improving supply and demand balance. The automated machine learning platform has helped Lenovo make proactive and precise decisions, resulting in increased inventory levels and meeting customer demand. DataRobot has also been used to create predictive models for other areas such as sales leads scoring and credit policy. The company has seen significant accuracy improvements and plans to leverage automated machine learning for future initiatives. Read More