AI-powered diagnostics: Reducing defects and accelerating quality control
summary
Jabil builds a Mendix app on AWS (incl. Bedrock) that gives technicians instant, visual troubleshooting by barcode scan to pull multi-source issue history and translated work instructions, with in-app contribution so the knowledge base continuously improves. Deployment goes from concept to production in 4 weeks from concept to use, technicians previously spent 30% of time researching, results show 15% scrap reduction and about 10% fewer quality issues, and the system scales across sites.
AI-written summary · about
chapters (8)
- 0:00Introduction and speakers
- 1:49Jabil’s AI strategy and governance
- 4:17Root cause analysis with AI
- 7:29Technician support application concept
- 9:15Application features and workflow
- 11:42Results and impact on quality
- 13:29Key lessons and future steps
- 15:59Call to action and summary
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