With early machine learning POCs beginning to mature, enterprises are starting to ask how to scale and industrialize machine learning to meet the organization’s demand. Part of the answer to successfully scaling ML is building out appropriate processes and technology platforms.
Sam Charrington outlines the capabilities of the platforms built by ML early adopters like Facebook, Uber, and Google. He draws from these a set of process disciplines and capabilities that an Agile ML platform must exhibit and reviews the landscape of open source alternatives.
Sam Charrington is the founder of CloudPulse Strategies and host of the podcast This Week in Machine Learning & AI, has interviewed over 200 of the industry’s leading machine learning and AI experts, and has conducted extensive research into emerging ML and AI platforms. Sam’s an analyst, advisor, consultant, and commentator focused on cloud computing, big data, and related technologies.
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