Cocktails & Conversations with DataRobot & Earnix

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Join teams DataRobot and Earnix for a cocktail reception at Crush Restaurant!
– Meet up with fellow AI enthusiasts and Insurance experts.
– Discuss challenges and best practices in Insurance Pricing and Rating.
– Share your stories, experiences, and insights on how to successfully embrace AI for your business.
– Discover the benefits of Dynamic, Integrated Rating Engines in Insurance.
– Learn the latest advances in rapid product development and dynamic pricing for two industry leaders, DataRobot and Earnix.
This reception, hosted by DataRobot and Earnix, will take place on September 24th, from 7pm-9pm, at Crush Restaurant (inside the MGM).
RSVP today!

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Speakers

Neal Silbert
Neal Silbert

General Manager of Insurance, DataRobot

Cror
Dror Pockard

VP Strategy & Business Development, Earnix

  • 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