Webinar

What You Need to Know About Getting Started With MLOps

Event Overview

Machine Learning Operations, or MLOps, integrates the core principles of DevOps with machine learning. This brings the DevOps concepts of continuous integration, observability, and high software quality practices together with the world of data scientists and applied AI engineers. In this webcast you'll learn what MLOps is, how to know if you're ready for it, how to prepare your teams, and what tools you'll need if you decide to implement MLOps.

What to expect

In companies across all industries, MLOps is changing the scale at which data science work is done. It's an exciting time to get involved with the field and a chance to be part of group of early adopters. Join IDG's Tom Schmidt as he talks with the WWT MLOps team on how MLOps is changing the scale at which data science work is done. It's an exciting time to get involved with the field and a chance to be part of group of early adopters.

What is MLOps
Typical Challenges for Organizations
What Does a Real MLOps Project Look Like?
Technology Deep Dive

Goals and Objectives

After viewing this webcast, you will a concise understanding of what MLOps is. The team will pose typical challenges that organizations are up against and how MLOps can solve for those problems. We will also look at what a MLOps project looks like and dive into the technologies used to implement and succeed.

Who should attend?

This webcast is most relevant to IT Managers companies with 1000+ employees in the areas of Finance/Banking/Accounting, Healthcare/Medical/Pharmaceutical/Bio-Tech, Manufacturing & Process Industries, Mining/Oil/Gas, Retailer/Wholesaler/Distributor (non-computer), and Transportation/Utilities (Energy, Water, etc.).