Author Bob Laurent

It’s a new year and a new decade, so we’re tapping into the minds of some of our leading industry experts and general managers (GMs) to find out what big trends they see emerging in the coming months. Learn more about AI demand forecasting for retailers, spatial data for sports analytics, and much more. H.P. Bunaes, Banking GM To date,…

DataRobot was founded in 2012 with the vision that enterprise AI has the potential to deliver transformational power to organizations around the world. Today, we’re seeing that vision play out as AI has become a business imperative, helping to turn data into real business impact. There isn’t a day that goes by without a story in mainstream publications, like The…

In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand. The technology they invented, automated machine learning, allowed organizations to scale data science capacity by teaching machines to perform much of the tedious and time-consuming…

“Without alignment, data science projects fail to drive outcomes.” So cautions Kjell Carlsson, Ph.D., author of Best Practices: Scaling Data Science Across The Enterprise, a report from industry analysts at Forrester Research. Kjell identifies a company’s IT team as stakeholders whose support is critical to the success of data science projects, and we concur with Kjell’s research. Comprising three interlocking…

Information is the lifeblood of many organizations, and keeping it secure has become a critical concern for IT departments across the world. This is especially true as organizations continue to move critical business functions – including data hosting, CRM systems, and other SaaS applications – into the cloud. We take the security of our customers’ data very seriously. That’s why we're…

Companies planning to be AI-driven will find pragmatic advice in Best Practices: Scaling Data Science Across The Enterprise, a report from industry analysts at Forrester Research. Author Kjell Carlsson, Ph.D. identifies three key takeaways in the report: enterprises struggle to expand data science across the organization; without alignment, data science projects fail to drive outcomes; adopt five best practices to…

In a previous blog post, we introduced you to Zach Deane-Mayer, a data scientist who runs our core modeling team. One of the most important tools in his team’s arsenal is a data science performance evaluation system created and maintained by our QA team. This system is at the core of our comprehensive testing philosophy that we believe is crucial…

There’s a lot to love when it comes to automated machine learning. At DataRobot, we see firsthand the game-changing results that businesses get from this powerful technology. Check out five key reasons businesses are falling head over heels: Democratization. Everyone wants to solve problems and find solutions. Keeping customers, improving pricing, moving products faster, and making operations more efficient are…