Toyota on AWS

Building on Amazon Web Services (AWS), Toyota innovates across its business from keeping track of vehicle journeys from manufacturing to dealership, to leveraging the Toyota Connected data lake to detect vehicle defects and improve product quality for customers.

TMNA aims to transform its fragmented data landscape by creating unified, connected lakehouses across business units. The strategic vision focuses on breaking down data silos, enabling comprehensive data sharing, and implementing generative BI tooling to support self-service analytics and AI/ML use cases. By leveraging SageMaker Unified Studio, TMNA seeks to embed data-driven insights across manufacturing, sales, supply chain, and customer experience domains.  

Toyota Motor North America is redefining efficiency in its software development processes. It has implemented Amazon Q Developer and is harnessing AI to streamline its coding processes. For instance, it has been able to save 1500 hours of manual documentation by leveraging Q Developer's unique AI agents. Furthermore, the company has also tapped into Amazon Q Developer's transformation capabilities to upgrade its Mainframe codebases cost-effectively.

Toyota Motors North America implemented an IoT-based predictive maintenance system using Amazon Web Services (AWS) to collect real-time sensor data and detect equipment anomalies early. Watch this video to learn more about how they leveraged AWS services like AWS IoT SiteWise and Amazon Lookout for Equipment to gain visibility into asset health to make data-driven decisions on when to schedule repairs, eliminating unplanned outages, and improving productivity.

Toyota Motors North America implemented an IoT-based predictive maintenance system using Amazon Web Services (AWS) to collect real-time sensor data and detect equipment anomalies early. Watch this video to learn more about how they leveraged AWS services like AWS IoT SiteWise and Amazon Lookout for Equipment to gain visibility into asset health to make data-driven decisions on when to schedule repairs, eliminating unplanned outages, and improving productivity.

Discover how Toyota Motor North America leveraged generative AI to migrate their mainframe workloads to AWS. Managing 90% of Toyota's supply chain operations, these legacy systems presented a complex migration challenge. Using Amazon Q Developer, Toyota rapidly reverse engineered its legacy COBOL code and generated documentation in just one day. This innovative approach dramatically accelerated their ability to migrate to AWS, transition off mainframes, and reduce costs while maintaining critical business operations.

Toyota Connected is Toyota's data services division that uses AWS to process large amounts of vehicle data to help respond to drivers in emergencies. AWS services such as Amazon Bedrock help Toyota developers to access generative AI to create new driver experiences. As Toyota's Brian Kursar and Ashley Parks discuss, using AWS helps Toyota Connected solve data challenges creatively and increase safety and faster call center action for customers.

Founded in 1937 and headquartered in Japan, Toyota Motor Corporation (Toyota) is one of the largest automobile manufacturers in the world, producing about 10 million vehicles per year.