A MLOps Platform for All Data Personas
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore the journey of building a comprehensive MLOps platform at IKEA in this 52-minute conference talk. Discover how the furniture retail giant addressed the challenge of standardizing model development across seven distinct data personas, each with unique methods for productionizing AI/ML models. Learn about the strategies implemented to tackle complexities surrounding Responsible AI, cost efficiency in compute-intensive model development, and meeting the needs of non-code-first personas. Gain insights into leveraging open-source components alongside custom-built solutions to create a cohesive MLOps platform. Understand the approach to establishing governance in a vast organization and the implementation of a platform-as-product mindset. Delve into IKEA's experience of integrating Open Source, Public Cloud, and Private Cloud technologies with multiple interaction interfaces to meet the diverse needs of their data community.
Syllabus
A MLOps Platform for All Data Personas - Karan Honavar, IKEA IT AB
Taught by
Linux Foundation
Tags
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera