Gartner Information Technology Research

Essential Skills for Machine Learning Architects

Published: 08 February 2021

ID: G00738709

Analyst(s): Daniel Cota

Summary

Organizations struggle with unmanageable diversity in ML projects that support AI-based systems. To govern, design and integrate distributed, complex ML solutions, data and analytics technical professionals focused on ML should use this research to identify the essential skills of the ML architect.

Table Of Contents

Overview

Skills Analysis

  • Technical Strategy Design
  • ML Workload Design
  • Selection Criteria Identification
  • ML Technology Evaluation
  • MLDLC Setup
  • Business Transformation Alignment
  • Enterprise Architecture Integration
  • ML Framework Evaluation
  • DevOps Process Alignment
  • Governance Process Alignment
  • Resource Alignment
  • Analytics Engine Selection
  • Programming Language Evaluation
  • Risk Assessment
  • Thought Leadership
  • Vendor Management

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