Best practices for building machine learning platforms on the cloud

This article is part of a VB Lab Insights series paid for by Capital One. Most people are familiar with major technology platforms like iOS, Windows and AWS. Platforms, in their essence, are a group of technologies that serve as a base from which to build, contribute, experiment and scale other applications. They enable much of today's most advanced technology capabilities and cutting-edge customer experiences. In order to keep pace with the scale and complexity of the technology capabilities brought by big data, AI and machine learning (ML), many companies are developing sophisticated internal platforms of their own.