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Transforming Healthcare with Automated Machine Learning

The future of healthcare is data-driven, and machine learning is key to enabling the artificial intelligence (AI)-driven healthcare organization. Unfortunately, many healthcare providers and payers are struggling to effectively utilize machine learning. Many providers simply don’t have the skills, tools or time to deploy conventional machine learning solutions.

The DataRobot automated machine learning platform makes advanced predictive analytics more accessible by reducing barriers to more accurate predictions. Download this overview to learn about specific use cases, overcoming barriers to entry and ultimately how to deliver better health outcomes and better patient experiences with automated machine learning.

This overview dives into:

  • Examples of payers and providers that are using predictive analytics to transform operations
  • Simple methods for deploying and maintaining machine learning models
  • How DataRobot optimizes and accelerates predictive analytics at healthcare organizations
  • 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.