124 DataRobot Testimonials

"We use DataRobot to make billions of predictions."

“What I think is important now is to talk about AI and provide explanations that we all can understand of an incredible evolution in technology and have a resulting capability that will forever change our information opportunities, our interactions, how well we (the broadest ‘we’) understand the rudiments and real potential of AI, anticipate its implications, and coordinate a course ahead. They’re all imperative matters. Get started — dive in! There are open use cases by DataRobot, it’s a welcoming community and everyone has a voice.”

“As a non-traditionally-trained data scientist, I find it’s all there and ready for me to investigate, explore, and test. Complementing the tools we’ve developed at Decode, we can launch hundreds of projects with different project design iterations.”

"I thought there was a faster way to do model development and validation, and DataRobot gave us the flexibility to build certain models that we weren’t currently building and ensure those models met the high bar for regulatory compliance."

"DataRobot allows our IT developers to pick up supervised machine learning easily. It lowers the steep curve of machine learning and removes the complexity of the underlying models from the developers."

“We always keep ourselves up-to-date on the latest data science trends and options available, through talking to partners and performing technology scanning."

"When we start to seriously think about investing in a predictive analytics platform, ROI emerges as a key consideration. Ideally it would be an enterprise-level software – like DataRobot – that we can extend usage and scale for other purposes."

"DataRobot turns my three data scientists into a team of 20 data scientists."

"DataRobot gives you all the tools you need. It will democratize machine learning across the whole business."

"I had a team of analysts doing predictive analytics, but we were shoehorned into using generalized linear models (GLMs) and doing that manually. These projects would typically be very, very long — three to six months — and as soon as they’re finished, they’re pretty much out of date."

“My high-level vision of the architecture is that Snowflake is the hub.”

“What DataRobot allowed us to do was take our historical data in Snowflake and easily train, test, optimize, and deploy business learning models into our production environment to easily create business value.”

“I find DataRobot to be a great tool for accelerating the application of data science, and we should think about harnessing data science to improve our work. That leaves the organization to focus your resources on where you add value.”

"It was difficult to go from raw data to prediction insights that could be integrated into the business. It wasn’t until we became a centralized team, developed a comprehensive analytics strategy and sourced a standardized tool like DataRobot that we, as a data science function, began to deliver real value to our association and its members."

"Working with our customerfacing data scientist to ask questions around how to design use cases, how data needs to be structured, how to decide which model to use and how to deploy the model – that support really got us over the hump. We quickly made the decision that DataRobot would be the right solution for us."