Gartner Research

China Summary Translation: 'How to Choose the Right Data Science and Machine Learning Platform'

Published: 20 August 2019

ID: G00434004

Analyst(s): Melody Chien, Carlie Idoine

Summary

The data science and machine learning platform market is crowded and complicated. To choose correctly, data and analytics leaders must assess their organization’s analytics maturity, define business-driven requirements and segment vendors’ platforms into clusters for evaluation.

Table Of Contents

主要挑战

建议

How to Choose the Right Data Science and Machine Learning Platform

  • Key Challenges
  • Recommendations

Introduction

Analysis

  • Assess Your Current Data Science and Machine Learning Maturity
  • Assess the End-to-End Analytic Pipeline and Life Cycle
  • Segment Platforms Into Appropriate Clusters to Assess Similarities and Differences
  • Evaluate Vendor and Platform Capabilities and Market Trends
  • Invest in Hiring and Skills Building for the Data Science Team

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