what new sep2020

What's New

We're updating DataRobot regularly. Check back here to see the latest improvements and newest features.

DataRobot 7.2

Released September 13, 2021

In release 7.2, we have opened up DataRobot for data science experts who love to code via Composable ML and code-centric data preparation and pipelines. MLOps adds Continuous AI to keep production models at peak performance, bias monitoring to keep models fair, and new Decision Intelligence flows that let you apply business rules to each and every prediction.

Keep reading to understand more about our most exciting release yet.

Powerful Tools for Data Science Experts Who Love to Code

Composable ML

Your Expertise Extended with Our World-Class Automation. To build best-in-class models, data scientists need to constantly experiment with data and algorithms. In reality, data scientists spend much of their time on repetitive or mundane tasks, like writing code for feature transformations or model operationalization, leaving them with little time to actually experiment.

Read more about DataRobot 7.2

DataRobot 7.1

Released June 15, 2021

As we reach the midpoint of 2021, we’re thrilled to announce our second major release of the year! In AutoML, automated feature discovery with push-down integration for Snowflake is now generally available. Automated Time Series now includes automatic data prep, and we have enhanced our unique Eureqa forecasting models. MLOps users can now perform major lifecycle operations on remote models using our new MLOps management agents. We’ve also introduced a brand-new No-Code AI App Builder that allows you to quickly create beautiful and powerful AI applications using a visual drag-and-drop user interface. No coding skills required.

And this is just a fraction of the release. Are you excited? So are we, so let’s jump in.

Automated AI Reports

Trusted Insights for Your AI Projects. Automated AI Reports are now available. AI reports are designed to summarize the most important findings of your modeling project to stakeholders in an easily consumable format. In just a few clicks you receive a comprehensive summary of your AI project. The report provides accuracy insights for the top-performing model, including speed and cross-validation scores. It also captures interpretability insights from the Feature Impact histogram for your top-performing model. Detailed model explanations , performance metrics, and ethics insights generated in the AI Report help you build overall trust in your AI projects and prove value to your key stakeholders.

Read more about DataRobot 7.1

DataRobot 7.0

Released March 16, 2021

It’s our very first release of 2021, and we’re excited to share it with you. Release 7.0 of DataRobot, provides innovation across our entire platform through enhancements to all the products you know and love. We’ve improved our scoring tools in Data Prep, added image augmentation to Visual AI, introduced customizable compliance reports in AutoML and AutoTS, and added a way to easily compare your forecasting models to ours. In MLOps, we’ve added the ability to challenge any model built in any language or framework, and deployed to any environment. Here are the major headlines for this exciting new release.

Enhanced Prediction Preparation

Ultimate Flexibility For Scored Data. DataRobot’s self-service data preparation just got even more powerful in Release 7.0. Not only can you quickly and easily prepare your data for model training, you can also use our visual data prep capabilities to score new data after your models are built and use it for whatever purpose you choose. Since our data prep tools work seamlessly within our end-to-end AI Platform, we make it incredibly easy for anyone to get scored data from any deployed model. You can then integrate the scored data back into your production data pipelines or write it out to a huge variety of well-known enterprise data sources on-prem and in the cloud. All of the scored data is intelligently cached to accelerate the read performance of downstream applications. You can also get both SHAP and XEMP-based explanations for every single prediction, ensuring full transparency and trusted AI.

Read more about DataRobot 7.0

DataRobot 6.3

Released December 15, 2020

DataRobot Release 6.3 is here and contains bounty of highly requested features. Bias and fairness testing is new in Automated Machine Learning, MLOps introduces Portable Prediction Servers, and Automated Time Series includes visual feature lineage, new deep learning blueprints, pre-loaded holiday calendars, and many other enhancements to provide deeper insights and more human-friendly explanations for all your time series models.

Automatic Bias and Fairness Testing

AI that Shares Your Values. A key component of building trusted AI is ensuring alignment with your ethics and values. New in DataRobot Release 6.3, bias and fairness testing allows you to flag protected features in your dataset and then actively guides you through the selection of the best fairness metric to fit the specifics of your use case. Once your models are built, we then surface visual insights to illustrate the results of the selected bias and fairness test. If bias is identified, you can use the Cross-Class Data Disparity tool to perform root cause analysis, diagnosing the source of bias in your data, and ultimately directing you towards mitigation steps in your data collection or processing.

Read more about DataRobot 6.3

DataRobot 6.2

Released September 14, 2020

DataRobot Release 6.2 is here, and it’s packed with innovation for every step of your AI journey from data to value. The release includes next-level feature discovery, a new comprehensive autopilot mode for maximum accuracy, anomaly assessment insights, governed approval workflows for MLOps, and so much more.

Next-Level Feature Discovery

Find Predictive Signal In Related Data. Release 6.2 takes our automated feature discovery capabilities to a new level. We have enhanced the dataset relationship workflow, making it much more intuitive. You can now select multiple datasets, as well as define, edit, and visualize all your relationships at the same time. Feature discovery is also more transparent. You can access logs to get details on which features were explored, discarded, or generated. You can also download the full training dataset, including all the values derived during the feature discovery process.

Read more about DataRobot 6.2

DataRobot 6.1

Released June 16, 2020

In Release 6.1, we focus on the business end of enterprise AI with a new use case value tracker. We’ve also introduced spatially aware models with Location AI, anomaly detection for Automated Time Series, and champion/challenger models for MLOps. Here are just some of the highlights.

DataRobot Location AI

Where Predictions Count. In DataRobot Release 6.1, we introduce spatial awareness to our Automated Machine Learning product. Location AI is a new patent pending feature that allows your predictive models to understand spatial relationships between observations in a dataset. For example, one of the best ways to predict home prices is to know the prices of other homes in the same neighborhood. Knowing the effects of proximity is critical for many prediction problems, and Location AI automates complex spatial modeling tasks for both novice and expert users. You can also mix your location data with other data types, including tabular, text, and images.

Read more about DataRobot 6.1

DataRobot 6.0

Released April 2, 2020

Release 6.0 of the DataRobot takes enterprise AI to the next level. It is, by far, the most innovative and feature rich version in our history. DataRobot Visual AI brings image-based models to the Automated Machine Learning product. We’ve introduced a new suite of AI applications that turn your predictions into business decisions and added major enhancements to MLOps, Automated Time Series, and DataRobot Data Prep.

DataRobot Visual AI for Automated Machine Learning

Help Your AI See the Big Picture. In Release 6.0 of DataRobot, we are thrilled to announce a groundbreaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision, right away — all with the same DataRobot usability, workflow, visuals, and other UI features you know and love.

Read more about DataRobot 6.0