AI case study

NissanR&D data analysis

Sensor data overwhelmed local servers. Engineers now run natural language queries 5x faster via AI, cutting PoC timelines by 80%.

Published|7 months ago

Key results

Cost & Time Reduction
90%
vs manual evaluation
PoC Duration Reduction
~80%
Expert Consistency Rate
>90%

Result highlights

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The story

Context

A global automotive manufacturer aiming for carbon neutrality by 2050 develops complex autonomous driving technologies that generate massive volumes of sensor and operational data.

Challenge

On-premises infrastructure could not scale to handle increasing sensor data or link disparate analysis software for collision and aerodynamic tests....

Solution
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Quotes

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The company

Global manufacturer of passenger cars, commercial vehicles, and electric vehicles.

IndustryAutomotive & Mobility
LocationYokohama, Kanagawa, Japan
Employees100K+
Founded1933

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

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