"We see DataRobot as a competitive advantage in healthcare. How else are you going to improve quality rates, or drive down medical costs, or reduce member churn, if not AI? It's an obvious choice."

"DataRobot is unchartered territory for healthcare. A lot of people use the buzzwords of predictive analytics or machine learning, but we’re actually doing it. We have a product that’s out on the hospital floors now, and we see it work."

"Citi Ventures invested in DataRobot because they created this category of automated ML. DataRobot was the first to understand this phenomena that the world needs data science, but not everybody’s trained as a data scientist. This is a huge differentiator in the market."

"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."

"We use DataRobot to make billions of predictions."

"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would typically be very, very long — three to six months — and as soon as they’re finished, they’re pretty much out of date."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 …

"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 …