Gartner Research

Architecting Machine Learning With IoT

Published: 23 January 2019

ID: G00354956

Analyst(s): Carlton Sapp , Paul DeBeasi


Organizations are struggling to integrate machine learning with the Internet of Things. This research helps technical professionals overcome this challenge by analyzing four reference architectures and ML inference server technologies.

Table Of Contents


  • Problem Statement and Solution Approach
    • Training vs. Inference
    • Role of the ML Inference Server
    • ML Inference Server Integration Options
    • ML Inference Server Integration Criteria
  • Reference Architectures
    • ML Inference Server in the IoT Endpoint
    • ML Inference Server in the IoT Gateway
    • ML Inference Server in the IoT Cloud Platform
    • ML Inference Server in the Data Center
  • ML Inference Server Technologies
    • Microcontroller and Mobile Servers
    • Cloud-Compatible Edge Servers
    • Cloud-Based Servers
    • Container Compatible Servers
  • Strengths
  • Weaknesses


The Details

  • IoT Reference Architecture
  • IoT Data Pipeline
  • Options for Sourcing ML

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