Manufacturing operations needs to embrace AI

Manufacturing operations add trillions of dollars to the world economy. Implementing artificial intelligence (AI) projects at scale has the potential to save billions across manufacturing industries and transform production. But the opportunity is not being seized, as research shows manufacturers are concentrating efforts on only a few use cases.

According to the Capgemini Research Institute Artificial intelligence in manufacturing operations report, maintenance and quality are leading the AI transformation in operations. Almost one in three (32%) AI implementations are being completed in maintenance and quality is a close second, with one in four (26%).
AI in manufacturing operations will transform production. Learn how you can scale AI to take advantage of the opportunity.

Download Scaling AI in Manufacturing Operations: A Practitioners’ Perspective

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How to scale AI in manufacturing operations

Start small and generate quick wins

Select easy-to-implement, high-benefit use cases
Clarify the magnitude of achievable benefits
Ensure data is available to fuel use cases

Leadership, process, and governance

Identify leadership to support and drive implementation
Create a governance structure
Generate awareness to foster collaboration

Invest in data systems and a talent foundation

Create a data governance framework
Build a data-management system for scaling AI
Develop a talent pool and invest in more AI and data skills

$400K

Savings per ship per year for Caterpillar Marine Division after machine learning analyzed data on how often hulls should be cleaned for maximum efficiency

30%

Reduction in lost sales by Danone after using machine learning to predict demand variability and planning

15%

Product uniformity improvement by Bridgestone using machine learning to measure quality