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What's New

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

January 2023

Released January 24, 2023

Realize business value from AI more quickly with the January DataRobot release and new features that provide speed, flexibility, and ecosystem advancements. New, hosted Notebooks allow the development of AI/ML projects with code-first or code-free experiences. See 21% faster results* when choosing Quickrun Autopilot mode with DataRobot AutoML. Save time by building No-Code AI Apps directly from a model leaderboard. 

The new, user-friendly integration with custom model repositories with existing CI/CD tools like GitHub support ML Engineering teams’ automated workflows, while maintaining the DataRobot platform’s governance standards. 

This month, DataRobot also debuts Dedicated Managed AI Cloud on Microsoft Azure. This hosted version of the DataRobot AI Cloud platform is deployed for each customer in a dedicated and separate virtual private cloud that is operated, monitored, and maintained by DataRobot in-house experts. Already available on AWS and Google Cloud marketplaces, Dedicated Managed AI Cloud can now also be purchased on the Azure Marketplace.

Read more about January 2023

November 2022

Released November 22, 2022

Working faster, working with more transparency – those are consistent themes in this month’s DataRobot AI Cloud release.  Learn more how to improve the experience when working with custom models using DataRobot GUI – editable number of execution environments, easier tracking process and update training data when custom model has changed.

Read more about November 2022

October 2022

Released October 26, 2022

Change is happening all around – and impacting your business. Two new DataRobot AI Cloud features help you address change. 

Learn more about Drift Over Time, which helps you with further insights to identify problems and patterns over time. With more information, you can better manage predictions. Deployment Prediction Processing Usage gives you useful details to show which predictions are delayed, why they are delayed, and the time frame so you can make adjustments as needed. 

Read more about October 2022

September 2022

Released September 28, 2022

Today organizations are looking into new ways to apply AI to solve unique business problems—from projecting sales to complex manufacturing development—by adding ML models into the DNA of each business function. The main concern of organizations is how to move fast from experimentation to scaling AI without sacrificing trust and transparency. 

In this release, DataRobot is excited to announce that Time Series Clustering is now available for SaaS users. In addition, DataRobot also focused on improving model observability with large-scale monitoring with Python, data drift monitoring over time, prediction processing stats, and more.

Also this month DataRobot Dedicated Managed AI Cloud is available for public preview. With this model, AI Cloud is deployed for each customer in a dedicated and separate VPC.  By eliminating implementation time and resources, organizations can more quickly apply data engineering, machine learning, decision intelligence, and ML Ops capabilities.

Learn more about  Dedicated Managed AI Cloud and other capabilities only found in the DataRobot AI Cloud platform.

Read more about September 2022

August 2022

Released August 25, 2022

Today’s economy is under pressure with inflation, rising interest rates and disruptions in the  global supply chain. Many organizations are moving to reduce costs, improve operations, and revise forecasts. Strong model observability and MLOps process are needed to tackle these challenges for business-critical applications.

This release focuses on significant enhancements for DataRobot MLOps, specifically in the model monitoring area. These new features help you compare and evaluate production models with new insights, create custom metrics that are important to your business, and scale your monitoring to save time. 
Learn more about these and other features only found in the DataRobot AI Cloud platform.

Read more about August 2022

July 2022

Released July 27, 2022

With new NLP hyperparameters and the power of automation, you can run new AI experiments much faster with DataRobot AI Cloud, which takes text data prediction explanations to the next level. Understand the impact of text, such as patterns of positive and negative feedback in customer reviews or product feedback. Access more granular insights to help determine new use cases and increase the trust, usability, and explainability of text features.

Find scale and speed with improvements in scoring code for time series models that involve large datasets. Now you can download the scoring code for time series models and run predictions on your largest datasets outside DataRobot AI Cloud in the environment of your choice. 

On top of these new features, we are excited to announce that Algorithmia is now integrated with the DataRobot AI Cloud platform. Reduce operational costs for AI projects by deploying custom models to the Algorithmia environment. Take advantage of autoscaling deployment while benefiting from the DataRobot MLOps built-in capabilities.
Learn more about other features that are only found in the DataRobot AI Cloud platform.

Read more about July 2022

June 2022

Released June 28, 2022

Navigate uncertainty with AI-powered forecasting

Customer behavior and needs have changed dramatically. As a result, businesses are becoming more agile to keep up with changes to identify new opportunities that meet customer needs.  Identifying trends in data helps to anticipate, which is why companies rely more on forecasting. But forecasting remains complex and laborious.  It requires manual updating of data and adjustments to forecast outputs. These steps can delay decisions, preventing businesses from responding immediately to new demand patterns and market changes.

AI-powered forecasting enables organizations to respond to changes faster and make the right decisions. A broader set of data scientists leverage DataRobot AI Cloud advances AI forecasting to combine automation with best-in-class modeling techniques to streamline forecasting. Now you can experiment faster, build models for new segments without sacrificing accuracy, and most importantly, operationalize models in a few clicks completely out-of-the-box.

Learn more about what’s new in DataRobot AI Cloud.

Read more about June 2022

May 2022

Released June 7, 2022

As AI adoption matures across organizations, there are increased business requirements for scale, speed, and ensuring that AI models are fair and accurate. The DataRobot AI Cloud May 2022 Release, the first in a series of monthly releases for the cloud-based AI platform, focuses on new features that help users spend less time on scripting and uploading data and more time focusing on refining models and delivering impactful results. 

The DataRobot AI Cloud May 2022 Release delivers nearly 40 new features to help data scientists and business leaders deliver AI results in a rapidly changing world.

Read more about May 2022

DataRobot AI Cloud 8.0

Released March 17, 2022

Businesses across all industries are facing challenges and uncertainties. DataRobot AI Cloud 8.0 is the mission-critical innovation that empowers organizations to navigate changing market conditions and drive clear business results from accelerated growth, reduced operational costs, and improved customer engagement.

DataRobot AI Cloud 8.0 brings to market over 40 new and enhanced capabilities, further enriching one of the most trusted and widely deployed AI platforms in the world. Among the new capabilities are:

  1. Time Series Integration with AI App Builder
  2. Continuous AI extended to the entire multi-cloud architecture, including on premise environments
  3. Enhanced connectivity extending to Microsoft Active Directory connections for SQL Server with Synapse and Scoring Code for Snowflake

Together, these new capabilities will help every business to navigate the most unpredictable of markets with better and more intelligent predictions.

We understand how critical it is to have access to AI-powered insights at the right time. Now users will be able to rapidly create intelligent applications on top of time series deployments and access actionable forecasts in a matter of minutes.

DataRobot AI Cloud 8.0 continuously monitors all models in production, keeping every model running at peak performance while adjusting for drift, adapting to changing ethics standards, and supporting governance policies. With real-world changes challenging every business on a daily basis, from COVID to changing economic climates and more, the continuous monitoring that DataRobot AI Cloud 8.0 offers is more important than ever.

Additionally, we extended the connectivity of the AI Cloud platform to give you access to data from Azure Synapse SQL, while DataRobot Scoring Code supports execution directly inside Snowflake, allowing you to store large datasets even faster. This gives all of our customers connectivity to the broadest set of data sources, including AWS Redshift, Oracle, SAP Hana, and Google BigQuery, along with the power to build the most complete, highest quality models.

Let’s dive in!

Empower Business Users with Predictive AI Apps

Even as many global markets continue their recovery from an extended pandemic response, significant uncertainty remains in the marketplace. Now more than ever, fast and accurate decisions make a difference in business performance. With growing pressure on organizations to empower frontline decision-makers with actionable insights, more companies are looking for ways to leverage tools for automated forecasting.

Read more about DataRobot AI Cloud 8.0

DataRobot 7.3

Released December 16, 2021

In Release 7.3, we are thrilled to announce expanded capabilities and features for all users to enable AI-driven decisions across all lines of business within a single platform.

Composable ML is now available for SaaS users. We also took modeling to the next level. Now you can leverage new, out-of-the-box capabilities, such as multimodal clustering, segmented modeling, unlimited multiclass, and multilabel classification, and combine them with data you have to solve a diverse set of challenges.

As part of the MLOps product, automatic compliance documentation helps you accelerate your preparation for regulatory reviews for any model. In addition, with built-in Challenger Models Comparison, you can review and compare model behavior for the champion or challenger model before deciding on a model replacement. 

In addition, Release 7.3 extends capabilities for our No-Code AI Apps. Now, the easy-to-use, customizable app builder supports time series models, allowing you to build more AI-driven apps for different complex use cases with no code. 

These are just a few headlines. Let’s dive in!

Code-Centric Data Science

Composable ML

Augmenting Your Expertise with World-Class Automation. We are happy to share that DataRobot Composable ML is available in the 7.3 Release for SaaS users. Composable ML provides customizable blueprints containing reusable building blocks so that data science experts can save time on managing libraries, editing code, and prepping routine model operations tasks and focus instead on experimenting with data, working with advanced algorithms, and other high-value data science activities. DataRobot can automatically generate and train blueprints to bring good options to the surface, which a data scientist can marry up with custom code to create new tasks and incorporate any modeling logic you want. Share the components you create, and all users in your organization will benefit from your work. Focus on the task and the code, and seamlessly integrate with a wide range of DataRobot capabilities with no extra DevOps work: Leaderboard, Insights, Compliance docs, Deployments, Monitoring and Governance, and more.

Read more about DataRobot 7.3