AI in Turbulent Times: Navigating Changing Conditions

AI in Turbulent Times Resource Card

AI and machine learning models are trained on historical data, but due to the massive systemic impacts of COVID-19, these models may be making predictions based on previously unseen conditions.

Customers across industries have been reaching out and asking what they should keep in mind during this ever-evolving event as fundamental necessities must continue on uninterrupted – we need to ship goods to stores, or deliver healthcare services, or set prices for assets, and stopping all together just isn’t an option.

After aggregating the conversations across industries, we are sharing our insights for helping you and your team navigate these unprecedented times.

AI in Turbulent Times Resource Card

During this event, we’ll structure a conversation around:

  • Which use-cases might be more sensitive to these extreme events?
  • How do extreme events enter into the model building process?
  • When to refresh your models to capture the changes in the system?
  • How should you think about fallback systems to revert to conservative models during such abnormal periods?

Jay Schuren and Rajiv Shah, Data Scientists at DataRobot, will help address what to think about, what to check, and how to build more robustness in your processes during these volatile times.

Bring your concerns and questions to this event as we’ll also be spending time to do our best to help you address them.

Speakers

Jay Shcuren
Jay Schuren

General Manager and Data Scientist, DataRobot

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Rajiv Shah

Data Scientist, 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.
    Evariant