Feature Stores: Critical for Scaling ML Initiatives and Accelerating Both Top-Line and Bottom-Line Impact

Feature Stores: Critical for Scaling ML Initiatives and Accelerating Both Top-Line and Bottom-Line Impact

  • January 2021 •
  • 8 pages •
  • Report ID: 6004008 •
  • Format: PDF
This IDC Perspective covers the definition of the feature store, its value to businesses, and associated challenges. While early in the life cycle, this capability will support the growth and adoption of ML technology and enable companies to realize strategic business benefits. This document provides an overview of some of the leading feature store solutions and provides essential guidance for end users."As digital transformations continue to drive ML initiatives, companies will need to approach scalability and adoption challenges by implementing a feature store to drive organizational efficiencies. Without this kind of approach to standardization, organizations will struggle to operationalize ML and realize their strategic vision," says Ritu Jyoti, program vice president, Artificial Intelligence Research at IDC.