SESSION

Simulating the Superbowl: Real-Time ML to Predict the NFL (Repeat)

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OVERVIEW

EXPERIENCEIn Person
TYPELightning Talk
TRACKData Science and Machine Learning
INDUSTRYMedia and Entertainment
TECHNOLOGIESAI/Machine Learning, MLFlow
SKILL LEVELAdvanced
DURATION20 min

This talk is repeated.

 

In the fast-paced world of live sports, anything can happen at any given moment. This creates an exciting challenge for sportsbook operators offering live betting products. How do you quickly react and respond to these events, offering a complete breadth of content and accurate predictions? In this talk, we will showcase how DraftKings does just that, focusing on our football model for the NFL. We will dive deep into our pricing engines, which use Monte Carlo simulations together with an ensemble of machine learning models that predict what might happen in each play. We will also cover our MLOps pipelines, training and deploying our models, and showcase how MLflow and Databricks have helped accelerate our SDLC.

SESSION SPEAKERS

Rohan Shanker

/Senior Lead Data Science Engineer
DraftKings

Niall Creech

/Senior Manager Quants
Draftkings