DataRobot Blog

By leveraging AI to target the right prospects with personalized promotions based on each customer’s unique attributes and purchase history, businesses can streamline customer segmentation and maximize conversions.

Organizations can accelerate experimentation, building, testing and evaluation of models, as well as delivering predictions by integrating DataRobot AI Cloud with AWS.

The Belong initiative at DataRobot celebrates the milestones we have reached over the past year. Learn more in our blog post.

A well-designed model combined with proper AI governance can help minimize unintended outcomes like AI bias. Learn strategies for building good governance processes and tips for monitoring your AI system in our blog post.

DataRobot was onsite as a gold sponsor of the two-day event to share insights and learnings on how customers can reduce their time to value and deliver business impact with AI.

In this blog post we’ll explore how Mindshare, a global media agency network, has leveraged data science tools to create a fast and reliable decision-making engine. Read more.

Technical blog explains how combining Google BigQuery and DataRobot AI Cloud Time Series capabilities help enterprises with three specific areas: segmented modeling, clustering, and explainability.

Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events.