There is much confusion around two of the most exciting technologies in the software world: Artificial Intelligence and Machine Learning. 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 state of AI and ML in the industrial sector
• The correlation between AI / ML and enterprise performance
• Why companies are falling behind with AI and ML, and the consequences of not catching up
• What a data model is, and why it’s critical for good outcomes using AI and ML
• How automotive, aerospace and defense companies should choose the right use cases
• Recommendations for companies considering AI and ML

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