
IT Operations
Put machine learning models into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop.
Thank you
We will contact you shortly
Thank You!
Close
We’re almost there! These are the next steps:
- Look out for an email from DataRobot with a subject line: Your Subscription Confirmation.
- Click the confirmation link to approve your consent.
- Done! You have now opted to receive communications about DataRobot’s products and services.
Didn’t receive the email? Please make sure to check your spam or junk folders.
Deploy with one line of code
Any model built in DataRobot is production ready. There is no need to write custom prediction code or manage any infrastructure. Use DataRobot's dedicated API to deploy models to servers behind a load balancer, easily scaling to meet your needs. Need to update your model every day? Automate the process with DataRobot's APIs and SDK.
Scale with Hadoop
DataRobot can be run on your Hadoop cluster to bring fully-integrated automated machine learning to the Hadoop stack. DataRobot utilizes Spark, and is certified compliant for data security and management so machine learning data objects and operations are visible to, and under the control of, Hadoop management processes and policies.
Create great models with full transparency
With DataRobot you can build and test hundreds of solutions that combine expert-level data preparation with machine learning algorithms from R, Python, Spark, H20, TensorFlow, and more. Use our industry-leading GUI or powerful Python and R APIs to compare solutions for model accuracy, prediction speed, and simplicity to find the best fit for your use case.
Empower your organization
DataRobot gives the power of automated machine learning to users of all skill levels. It provides access to a vast array of the latest and most powerful machine learning algorithms, yet puts appropriate guardrails in place so that even inexperienced users can select the best algorithms and pre-processing steps for the business problems they are trying to solve.
Explore the Most Popular Resources
-
VideoModel Monitoring at ScaleIn this session, we’ll show you how to use DataRobot’s intuitive tools to standardize model monitoring and management, automate time-consuming tasks, and improve collaboration between data science and IT departments.Watch the recording
-
VideoExpanding the reach of Data Science with the Data CloudOrganizations are investing heavily into data science to increase business value from their rapidly expanding data. But when model insights are not integrated into existing business processes, ROI can suffer.Watch the recording
-
MLOps for IT LeadersRead More
-
Data SheetAWS: Automated Machine Learning on AWS with DataRobotDownload the PDF
-
PodcastThe 4 Pillars of MLOpsIn this 15-minute podcast produced by Data Science Central, we explore best practices in Production Model Deployment.Listen to the podcast
-
PodcastHumble AI: Building Guardrails Against OverconfidenceListen to this podcast to learn how to: - Understand the limitations of your model and when you may need human interventionListen to the podcast
-
White Paper5 Latest Trends in Enterprise Machine LearningOrganizations are under growing pressure to transform the volumes of data captured by their systems into valuable insights that drive impact across all levels and lines of business.Read More