Build and deploy highly accurate machine learning models in less time
DataRobot can be rapidly deployed on AWS
DataRobot automates much of the data science process, streamlining the development and deployment of machine learning models while providing the guardrails needed to improve accuracy. The data these models produce is easily interpreted by financial institutions through diagnostic charts, data, and documentation.
DataRobot has implemented the same advanced techniques that skilled data scientists use, incorporating hundreds of open source machine learning algorithms, along with the modeling blueprints needed to help optimize the model. DataRobot delivers the information and transparency that business analysts and data scientists need in order to analyze why a certain model performs the way it does and the reporting needed to explain the model to management or regulators.
DataRobot is an AWS Partner and has achieved AWS Financial Services Competency. Competency Partners have industry expertise, solutions that align with AWS architectural best practices, and staff with AWS certifications.
Enable users across your organization to leverage data science, not just data scientists, with DataRobot's software-as-a-service (SaaS) solution on AWS
Easily build models: Produce highly accurate machine learning models, fine-tuned for your datasets. Leverage an ever-expanding ecosystem of machine learning algorithms to continually improve prediction accuracy
Improve employee productivity: Make your data science teams more productive, allowing them to address more challenges
Deploy faster: Rapidly deploy models into production via REST API or by exporting model code
Increase automation: Leverage automation of the predictive modeling workflow and featured engineering
Get multiclass model support: Utilize high-performance model training, rapid model validation, and advanced model tuning
Achieve enterprise-grade scalability and processing: Resource monitoring and reporting are key features