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On-Demand Webinar

Go from Data, to Data Prep, to Data Science

It goes without saying, in order to train data science models to produce predictive forecasts, you need data. But the process of getting the data into models is not always cut and dry, as data science and analytics teams continue to struggle with getting the right kind of data, in the proper format, for the appropriate analysis. As a result, teams end up spending more time uncovering and preparing data for data science models than they do on refining the actual models. But this doesn’t have to be the case.

Through the powerful combination of Snowflake and DataRobot, it’s now easy for data users to leverage the leading cloud data platform to quickly build, train and deploy data science models. Want to hear how?

Register today to hear from Josh Klaben-Finegold, Product Manager at Datarobot and Mike Klaczynski, Director of Product Marketing at Snowflake, as they discuss how you can conduct enterprise self-service data prep for data science in just a few clicks.

Join and learn how:

  • Snowflake + DataRobot empower users to collaborate, prepare, and process data for machine learning at scale, with enterprise governance
  • You can easily prepare your data for feature engineering
  • Leveraging the power of both Snowflake + DataRobot together is easy and seamless via Snowflake Partner Connect - demo included!
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • 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.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • 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.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • 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.