Technology Deep Dive

11:15AM-12:00AM CST, 19:15-20:00 PST , January 16

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.

Speaker

David Kjerrumgaard

Author of 'Pulsar in Action

David is the author of “Pulsar in Action” and a Developer Advocate for StreamNative. Prior to StreamNative, he was the Director of Solution Architecture at Streamlio where he was responsible for the development of best practices and solutions based on Apache Pulsar.