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[Research Spotlight] Artificial Intelligence and Machine Learning: “Right” Use Case Imperative for Automotive, A&D Companies

There is much confusion around two of the most exciting technologies in the software world: artificial intelligence (AI) and machine learning (ML). However, automotive suppliers and aerospace and defense manufacturers must determine how to best apply them ― and to consider how the state of their factory data impacts the results.

This research report examines the difference between AI and ML and:

  • Confirms the state of AI and ML in the industrial sector today
  • Explains the correlation between AI / ML and enterprise performance 
  • Describes why companies are falling behind with AI and ML, and the consequences of not catching up
  • Illustrates what a data model is, and why it's critical for good outcomes using AI and ML
  • Addresses how automotive and aerospace and defense companies should choose the right use cases
  • Provides recommendations for companies considering AI and ML
Author Name: Patrick Fetterman, Research Analyst
Date: Mar 21, 2019

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