DataRobot takes AI to next level

In its second major release of the year, DataRobot (www.datarobot.com) announces several product upgrades to its Augmented Intelligence platform designed to further democratise AI.  

With its 7.1 Release, DataRobot introduces new MLOps Management Agents to provide advanced lifecycle management for an organization’s remote models.  Management Agents understand the state of any remote model regardless of how they were created, or where they are running, and can automate various tasks including the retrieval model artifacts and deployment or replacement of models directly in their environment.

Joint DataRobot and Snowflake customers will be able to benefit from the automatic discovery and computation of new features for their models directly in the Snowflake Data Cloud without moving any data, making feature engineering faster, more accurate, and more cost-effective.

DataRobot Automated Time Series now runs its unique Eureqa forecasting models as part of the regular Autopilot process.  Eureqa models are based on the idea that a genetic algorithm can fit different analytic expressions to trained data and return a mathematical formula as a machine learning model.  With smart feature selection, Eureqa models dramatically reduce complexity and work well with both large and small datasets.

In addition, DataRobot’s new No-Code AI App Builder allows customers to quickly turn any deployed model into a rich AI application without a single line of code.  AI Apps can be built to help decision makers score new data, perform what-if scenarios, and even run hundreds of simulations to identify the ideal combination of input values to optimise the target outcome.

Commenting on the new release, Nenshad Bardoliwalla, SVP of Product at DataRobot says, “We are in constant communication with our customers regarding the challenges they face when deploying AI, and as a result will tailor our updates based on their unique needs.  We’re thoroughly committed to creating a platform that empowers every individual – from the most advanced data scientists to the everyday, non-technical business user – to take advantage of AI.  By easing the model lifecycle process and cutting down time to value, this latest round of enhancements gives enterprises the tools they need to better build, manage, and see value from their AI projects.”

More information on DataRobot’s 7.1 platform can be found at www.datarobot.com/platform/new