"Before DataRobot, it took three weeks to deliver a new model. Now, we average 21 hours for a viable model end-to-end. It’s powerful to finally have integrated automation that delivers all of this."
“DataRobot is the leading technology company and platform innovator that brings predictive and generative AI capabilities together with the governance, observability, and security we need at scale.”
"In building this platform we had one goal: empower researchers and oncologists to spend a fraction of their time restructuring the data, and the majority of their time on mapping patients to our research database to come up with a treatment plan."
"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."
"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would typically be very, very long — three to six months — and as soon as they’re finished, they’re pretty much out of date."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 to our association and its members."