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De-Risk Your AI Efforts by Removing Friction From Your MLOps Processes

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

MLOps Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Risk Management Courses Industrialization Courses Model Deployment Courses

Course Description

Overview

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Explore strategies for streamlining MLOps processes and accelerating AI implementation in this 51-minute conference talk from the Toronto Machine Learning Series. Learn how leading organizations increase process efficiency by 30% and boost revenues by up to 10% through effective ML integration. Discover ways to overcome common obstacles in industrializing AI, reducing the time from proof of concept to production. Gain insights from Catalina Herrera, Principal Sales Engineer, and Chris Helmus, Senior Sales Engineer at Dataiku, on creating trusted, agile, and controlled model processes. Understand how to remove friction from your MLOps workflow, enabling faster delivery of value from analytics and models in your organization.

Syllabus

De Risk Your AI Efforts by Removing Friction From Your MLOps Processes


Taught by

Toronto Machine Learning Series (TMLS)

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