{"id":526719,"date":"2019-10-03T12:26:00","date_gmt":"2019-10-03T12:26:00","guid":{"rendered":"https:\/\/www.capgemini.com\/us-en\/?post_type=client-story&p=526719"},"modified":"2025-03-05T06:14:20","modified_gmt":"2025-03-05T11:14:20","slug":"activate-ai-for-manufacturing-processes","status":"publish","type":"client-story","link":"https:\/\/www.capgemini.com\/us-en\/news\/client-stories\/activate-ai-for-manufacturing-processes\/","title":{"rendered":"Activate AI for manufacturing processes"},"content":{"rendered":"\n
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Activate AI for manufacturing processes<\/h1><\/div>
Download report<\/a><\/div>File size: 6 MB<\/span>File type: application\/pdf<\/span><\/a><\/div>
\"capgemini-invent\"\/<\/div><\/div><\/div><\/div><\/div><\/div><\/header>\n\n\n\n
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Building a best in class data & AI factory in B2B manufacturing in less than 1 year<\/p>\n<\/blockquote>\n\n\n\n

A major international Mining & Metallurgical company was looking to test AI by making quality metal cheaper in two countries, experiment with AI
teams with a strong involvement of business & IT, and create an iterative approach of \u201cThink large, start small, scale fast\u201d. The goal of the initiative was to demonstrate AI value for metallurgic fusion, and build an AI factory with a decent time-to-market operating model & governance to support AI
at scale. Producing a metal of better quality with the same resources<\/p>\n\n\n\n

Solution<\/h3>\n\n\n\n

Together with Capgemini Invent<\/a>, the company created a C-Level sponsored use case roadmap, prioritized by business value, with value
tracking to monitor gains.<\/p>\n\n\n\n

In parallel, a pragmatic data governance approach was designed, with prioritization of data domains according to client needs and priority use cases.<\/p>\n\n\n\n

Capgemini Invent<\/a> helped reaching alignment of IT \/ Digital stakeholders on a best in class operating model, able to deliver \u201clive products\u201d in less than 4 months time-to-market.<\/p>\n\n\n\n

Results<\/h3>\n\n\n\n

The manufacturer was able to deliver mor than 10 projects worldwide (in Asia, Africa, Europe, and many more) best in class methodologies including: continuous process optimization, energy reduction, and discrete manufacturing optimization. One of the project\u2019s value in Fusion control for Nickel alloys production resulted in:<\/p>\n\n\n\n