DataRobot is excited to share its latest integration with Partner Connect, which allows us to continue to build upon our Snowflake integrations.  The DataRobot on Partner Connect announcement means that Snowflake users now have a new workflow to easily experience the power of DataRobot with the power of the leading data cloud platform. The offering makes it easier than ever…

“People are asking, when will we get back to normal? I say, let’s not get back to normal, let’s get back to remarkable, because there were parts of ‘normal’ that were not great to begin with. Let’s take this opportunity to build businesses that are more resilient, more equitable, a world that is better, where access to technology is available…

On June 16 and 17, 2020, DataRobot hosted AI Experience Worldwide, our first-ever virtual conference, which brought together customers, partners, and AI visionaries to discuss how we all can accelerate the time-to-impact of AI solutions across the enterprise. Recognizing the obstacles presented by the uncertain times we live in today, the DataRobot team designed the conference agenda to address pragmatic…

Let’s suppose you have a number of machine learning models running in your production environment. Perhaps you are using DataRobot MLOps to help you with this effort. Perhaps you are doing it using your own custom-built method. Let’s also suppose that you are monitoring those models using metrics that help you understand their service health, accuracy, and so on.  First…

Do you trust the predictions your models are generating? Let’s think about this for a moment. Machine learning models learn from historical data and use the patterns they discover to make predictions about new data. If this were a perfect world, the model would have a stable problem to solve, copious amounts of training data, and the new data received…

The DataRobot Automated Time Series product has traditionally been built on a supervised machine learning workflow, which allows users to forecast future events by specifying a target variable to train on. However, there are cases in which we would like to infer information from time series data without knowing the target. This may be in the form of detecting a…

In Release 6.1, we are thrilled to introduce the DataRobot Use Case Value Tracker,  designed to help you with the business operationalization of your AI. As a centralized hub to collaborate with team members on any machine learning initiative from start to finish, it provides a systematic way to manage, monitor, and track the return on investment generated from your…

With the incredible growth of machine learning and data science in the last decade, the realization that location is an important aspect of predictive modeling in many industries has become apparent. Businesses are quickly realizing that geospatial analysis and location intelligence are core to their predictive modeling workflows. These tasks range from simply visualizing features on interactive mapping tools, to…

If you’re like me and cannot write a single line of code and have no idea what linear regression is, then keep reading—because this is about your business and how not to end up in a mess with the wrong AI vendor. Last week, I was reading a success story about an organization that implemented an AI solution and came…