How to Choose a Machine Learning Operations Platform

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Sourced whitepaper How to Choose a Machine Learning Operations Platform

Unlock the Power of Machine Learning

Many organisations struggle to get machine learning models beyond proof of concept and into production. But Machine Learning Operations (MLOps) has emerged to address many of the challenges faced.

The question is, how do you determine which MLOps platform is best suited to your company’s needs? We’ve developed an assessment framework to help you find the answer. It covers five critical factors – security, ease-of-use, portability, operational complexity, and cost – so you can make a well-informed decision.

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Farshad is a Lead Consultant with Sourced Group and is currently based in Toronto, Ontario. He specializes in cloud architecture, security best-practices, automation and app development with a strong focus on working with customers to build out Big Data, Machine Learning and Containerized platforms.