Fintech’s Secret Weapon — DataRobot & DemystData


Presented by DataRobot and DemystData, this webinar will show you why machine learning is needed by every FinTech company, why automation leads to massive productivity gains, and how better harnessing data in real-time enables financial organizations to make the right decisions about their customers. The webinar presentation is followed by a Q&A with Jason Mintz, VP of Product at DemystData, and Gregory Michaelson, VP of Customer Success at DataRobot.

Why Fintech Leaders Succeed:

  • Get to market faster with machine-learning-optimized products and the ability to accelerate time-to-data
  • Make better decisions on every transaction through more accurate models driven by superior data connectivity


Speakers from DemystData and DataRobot
  • 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.