DataRobot StoryDataRobot was founded in 2012 to democratize access to AI. Today, DataRobot is the AI leader, delivering a unified platform for all users, all data types, and all environments to accelerate delivery of AI to production for every organization.
Ask the Expert: Identifying and Qualifying AI Use Cases
Customer Facing Data Scientist
Data Science Trainer
We will cover:
Identifying use cases
Qualifying use cases and how to make them successful
How many use cases: quality or quantity?
DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
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