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On-Demand Webinar

Minimizing Model Risk with Automated Data Preparation & Machine Learning

In today’s complicated financial landscape, predictive analytics capabilities are necessary for banks to remain competitive – but working with data and developing accurate predictive models is challenging. The quality of predictive output relies on the quality of input. That’s why proper data preparation is such a critical success factor for achieving optimal machine learning results. However, getting the data prepared for analysis is a time-consuming process. In addition, models are inherently complex — and, if developed poorly, can do more harm than good.


Register for this webinar to learn how banks can use automated data preparation and machine learning to gain a competitive advantage, while quickly aligning their business operation to regulatory requirements. We will discuss current trends and expectations for model risk management regulatory compliance, how to reduce the time it takes to prepare data, and how industry-leading financial institutions are leveraging machine learning to provide a much stronger framework for model development and validation than traditional manual efforts.

You'll discover:

  • How Self-Service Data Preparation reduces the work required to get data ready for predictive modeling
  • Efficient methods to organize complex data and marry multiple datasets for predictive modeling
  • How Automated Machine Learning reduces model risk, while ensuring the implementation of cutting edge machine learning models
  • How Automated Machine Learning enhances compliance to model risk management regulation


  • 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.