Executing on MLOps To Build AI Products

Agenda

6:30 – 6:40 Intro
6:40 – 7:40 Presentation
7:40 – 7:55 Q&A
7:55 – 8:00 Adjourn

Abstract

Despite business investments, one of the biggest challenges to unlocking the potential of data science is moving machine learning projects past the experimental stage. MLOps is an emerging discipline to address this challenge. In this talk, we will discuss executing on MLOps to accelerate the migration of machine learning models to production.

Presenter: Greg Hayes

A technical leader in ML Engineering and Advanced Analytics with a strong interest in Python open source platforms. He has more than 20 years of experience leading global multi-disciplinary technology teams, and collaborating with global stakeholders/customers to identify and align on new opportunities. He has spent the last 7 years leveraging open source data science platforms to build value-added solutions, most recently on the Microsoft Azure technology stack.