DataRobot Blog

We just wrapped DataRobot’s latest AI Experience Worldwide. It was great to learn the many ways our customers are finding success with AI and share our expertise with you. There’s a lot to unpack, but first, I want to thank everyone—from our guest speakers to event planners to the technical team—who pulled together to make this event an incredible success. …

It is difficult to imagine the reaction of Don Draper, the chain-smoking protagonist of Mad Men, to today’s social-media advertising landscape. He’d be like a brook trout dropped into a tank of hammerhead sharks. Facebook, Instagram, YouTube—how would one even begin to describe things? I recently had the chance to talk with someone who has figured out this landscape: Ricky…

At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. Today's acquisition of Zepl does exactly that. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.   Founded in 2016…

According to McKinsey, “Research shows that 70 percent of complex, large-scale change programs don’t reach their stated goals. Common pitfalls include a lack of employee engagement, inadequate management support, poor or nonexistent cross-functional collaboration, and a lack of accountability.”  Last year I was doing some spring cleaning and looking for space in my home office for a digital piano. As…

One of the things I appreciate about Netflix is that when I’m watching The Queen’s Gambit or some other series, I don’t have to search for the next episode. It starts automatically.  Robert Sweeney is the guy who built that feature for Netflix. A recent visitor to our podcast, Robert left Netflix in 2012 to become something of a serial…

The AI Experience Worldwide (Virtual) Conference, scheduled for May 11-12, 2021 in the APAC, EMEA, and Americas regions, is right around the corner. This year’s theme of The Hunt for Transformational Growth is designed to help organizations unleash the power of enterprise AI to improve forecasts, generate actionable insights, and unlock exponential growth for businesses worldwide.  During the conference, participants…

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. How to adopt AI and machine learning into business processes is a critical goal to improve process efficiency and scale to handle the increased demand for AI and machine learning for years to come. One topic…

Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. We can then use these forecasts for inventory and supply chain planning, making overall operations more efficient. For some companies, a common issue in demand…