Technical blog explains how combining Google BigQuery and DataRobot AI Platform 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.
New in the DataRobot AI Platform is a unique drift drill down capability to help you manage change and stay ahead of your competition. Learn more.
The DataRobot expo booth at the 2022 conference showcased our AI platform with industry-specific demonstrations.
AI/ML can help transform millions of data points that are being collected over time from cars, events, and other sources into actionable insights.
A new economic validation report shows the DataRobot AI platform can transform data science initiatives with a 3.5x to 4.6x return on investment. Learn more.
Solving these time dependent business challenges requires an in-depth understanding of various special algorithms that rely on historical, dynamic data to make forecasts. Learn more.
So you have gotten your models out of the lab and into the real world. How will you supervise this expanding repository of production models in this erratic economy?
Next week, we're excited to partner with industry leaders at Big Data & AI Paris 2022, alongside a launch of a dedicated French language microsite. Learn more.