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On-Demand Webinar

Discover the Combined Power of the Leading Cloud Data Platform + the Leading Enterprise AI Platform

Join Snowflake and DataRobot virtually for a 90-minute Data for Breakfast session to learn about the latest advancements in cloud data analytics and data science. Industry experts will reveal how an integrated cloud data platform can deliver performance and concurrency for all your workloads, including data integration, data science for predictive insights, and secure and governed access to all your data at scale. The session will wrap a demonstration of how you can harness the power of data science and machine learning with DataRobot on the Snowflake Cloud Data Platform.

Tune into the virtual event and learn how to:

  • Leverage the latest in cloud analytics, machine learning, and AI so that you can deliver data-driven decision-making across your organization
  • Accelerate the adoption of AI and machine learning to drive ROI for your business
  • Build, deploy, and monitor highly trusted and accurate AI and machine learning models in a fraction of the time
  • 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.