How Nathan of Symphony Health Acquired his Data Science Superpowers

webinar

Data science has become the hottest job out there. But the challenges of developing and deploying predictive models can test the abilities of even the most seasoned professionals, making them feel like mere mortals at times. In this webinar recording, you’ll see a demo of DataRobot’s machine learning automation platform to discover how to turn your predictive analytics team into a League of Superheroes, cranking out predictive models at the speed of thought. You’ll also learn how Nathan Taylor from Symphony Post Acute Network became a data science superhero by adopting machine learning automation, improving the life of healthcare patients while:

  • Quickly completeing data science tasks that once took weeks
  • Rolling out models through a robust, easy-to-use enterprise-ready framework
  • Delivering more accurate results to his colleagues and educating management on results

Speakers

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely -- it's almost like magic!
    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

    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

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • 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.
    Evariant