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…

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…

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…

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…

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…

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…

With less than a week until AI Experience Worldwide, we’re excited to share more about some of the speakers and panelists joining us for the two-day event. The conference will bring together thousands of DataRobot customers, prospects, partners, industry stakeholders, and other AI visionaries to discuss how organizations can apply AI technology in today’s rapidly changing times to enhance business…

With the continued unfolding of the COVID-19 pandemic, the world’s economies and societies are going through an extended period of uncertainty. This ongoing volatility brings new challenges for organizations and teams managing predictive models.  It’s tricky to maintain a grip on production model management and monitoring under normal circumstances. The current turbulent times highlight this issue even further, with models…

Background As of April 19, 2020, Taiwan has one of the lowest number of confirmed COVID-19 cases around the world at 419 cases1, of which 189 cases have recovered. The major infection clusters in March 2020 are imported from two major regions such as the United States and United Kingdom. These imported clusters are unlikely to cause local transmissions, since…