DataRobot Blog

Announced at our recent AI Experience ‘21 conference and now in Release 7.1, we are thrilled to introduce the new No-Code AI App Builder. This allows any user, regardless of their technical expertise, to quickly turn a deployed model into a rich AI application without requiring any coding. This means that any predictive model can become an AI app in…

When I offered recent podcast guest Cindi Howson the opinion that data science has become much simpler, she had a ready response: “Are you telling me it’s not hard anymore?” I had to laugh. But Howson knows her data science. Now the chief data strategy officer at the company ThoughtSpot and host of the podcast The Data Chief, Howson has…

Freshly cut grass, coffee, gasoline, cinnamon: all of these are very distinctive smells. To create the most alluring scents, the creators of fragrances have long relied on perfumers with a “good nose.” But those perfumers now have help from AI. AI is capable of predicting the scents based on the molecular composition of a product. This post shows you how…

Although the fields of machine learning and AI have begun to mature, there is often a lack of success in applying AI in organizations, an issue DataRobot calls the "AI production gap." One of the leading common issues we see in the machine learning life cycle (feature engineering, training, scoring, etc.) is the involvement of a variety of separate and…

I started a family late in life. I have a three-year-old son and just a couple of months ago, celebrated my fifth wedding anniversary. There are pluses and minuses to starting late. My lifestyle choices don’t neatly fit into customer categories that marketers have been using for decades. Some marketing campaigns assume that if I’m a fifty-something man purchasing a…

DataRobot enables organizations to leverage the transformational power of machine learning by delivering the world’s most trusted enterprise AI platform that spans the full lifecycle from data to value. As the AutoML category creator, DataRobot has since expanded its capabilities to accept heterogeneous data formats, including image, geospatial, text, time series, and many others. New algorithms are constantly being added…

Will the future be a dystopia? A utopia?  Or maybe a… protopia?  Those are among the fascinating topics I recently discussed with Ilan Gleiser. Gleiser is founder and CEO of Synarchy AI, where he works with businesses to help them benefit from machine learning and natural-language processing (NLP) to drive economic value, automate processes, and generate insights.  Great stuff. But…

A recent report by technology research and consulting firm Omdia, “Selecting an Enterprise MLOps Platform, 2021,” could not have been clearer when stating that “investing in MLOps will be necessary for companies that aim to transform their businesses by using AI technologies.” They went on to say that investing in MLOps directly answers one of the biggest questions facing AI…