Session

Deploying Machine Learning Models with Pulsar Functions

In this talk I will present a technique for deploying machine learning models to provide real-time predictions using Apache Pulsar Functions. In order to provide a prediction in real-time, the model usually receives a single data point from the caller, and is expected to provide an accurate prediction within a few milliseconds. 

Throughout this talk, I will demonstrate the steps required to deploy a fully-trained ML that predicts the delivery time for a food delivery service based upon real-time traffic information, the customer's location, and the restaurant that will be fulfilling the order.

David Kjerrumgaard

Committer on the Apache Pulsar Project | Published Author | International Speaker | Big Data Expert

Las Vegas, Nevada, United States

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