Data Science & Machine Learning Platforms for the Enterprise

TL;DR A resilient Data Science Platform is a necessity to every centralized data science team within a large corporation. It serves as the foundation layer on top of which three internal stakeholders collaborate: product data scientists, central data scientists, and IT infrastructure. Figure 1: A data science platform serves three stakeholders: product, central, and infrastructure. Serverless scaling, as implemented by Algorithmia Enterprise, is horizontal scaling on-demand by encapsulating your model in a dedicated container, deploying that container just-in-time across your compute cluster, and destroying it right after execution to release resources.