How Data Science is Changing Football: What Every Industry Can Learn!

Webinar
. 45 minutes with Q&A
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Football and other sports have changed dramatically by adopting Artificial Intelligence – and will disrupt every business industry. Decisions across the organization benefit greatly by injecting data science, which more accurately comprehend the complexities of real-life information. Predictions and recommendations are improved for use cases off the field (marketing, ticket pricing), in-game strategy, and recruiting players.

This webinar will lead a lively discussion on how winning in sports translates to winning across other industries, overcoming cultural resistance, and doing analytics at scale and velocity to win the race.

DataRobot How Data Science is Changing Football What Every Industry Can Learn Resource card v1.0 1
  • 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