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Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency
- Toyota has collaborated with Google Cloud to build an AI Platform for its factories to deploy machine learning models across key use cases.
- The platform will automate labour-intensive tasks, freeing up human workers to focus on higher-value activities such as process optimisation, AI implementation and data-driven decision-making.
- Toyota's Production Digital Transformation Office embarked on a mission to democratise AI development within its factories.
- The hybrid cloud environment, coupled with a microservices-based architecture and agile development methodologies, allowed agile development, rapid iteration and deployment of new features while maintaining robust security.
- Google Cloud Hypercomputer was chosen for its high-performance GPUs and ease of use and has helped Toyota to manage GPU resources through a single VPC to avoid network complexity.
- Currently, the AI Platform is deployed in all ten of Toyota's car and unit manufacturing factories and reinforces its renowned production system (Toyota Production System) which is the gold standard in manufacturing efficiency.
- The AI Platform has already proven its worth with a substantial reduction of over 10,000 man-hours per year in the actual manufacturing process, optimising efficiency and productivity.
- AI Platform will be used more proactively in the future, including developing an AI model that can set more detailed criteria for detection, implementing it in an automated picking process, and using it for predictive management of the entire production line.
- Toyota is considering using generative AI in the future, such as using AI to create images for testing machine learning during the production preparation stage and implementing a recommendation feature.
- Toyota plans to utilise Cloud Workstations to improve efficiency, reduce workload, and create a more comfortable work environment by using managed services.
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