Solving the ‘Last Mile’ Problem in Data Science

There’s a ton of innovation occurring within the realm of data science at the moment thanks to a blossoming of machine learning technologies and techniques. But much of that innovation isn’t getting into production because of an impedance mismatch between data science and IT.

Now a company called Open Data Group is aiming to close that gap with a Docker-based model deployment framework. Open Data Group‘s CTO Stu Baily describes the company’s FastScore framework as an abstraction layer that makes it easier for enterprise IT professionals to deploy data science models into production environments.

Author: Alex Woodie


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