Transforming automotive with AWS
Unlock the full potential of the cloud to design, develop, and manufacture the next generation of vehicles. AWS offers the broadest set of services, Solutions, and Guidance, coupled with AWS Partner Solutions, to help you discover and select the right tools that accelerate time-to-value.

Browse solutions for automotive
Explore AWS Services, ready-to-deploy AWS Solutions, specialized Partner Solutions, and architectural Guidance for your automotive initiatives.
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Total results: 6
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Partner Solution
Maximo Application Suite - SaaS
Maximo a single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. With market-leading technology from IBM Maximo®, you’ll have access to configurable CMMS, EAM and APM applications, along with streamlined installation and administration, plus a better user experience with shared data and workflows. Key features of Maximo Application Suite: Leverage market-leading EAM, mobility, add-ons and industry models Enhance reliability with AI-powered monitoring, inspection and predictive maintenance Only pay for what you actually use with simplified licensing Use multicloud deployment for greater flexibility -
Partner Solution
Tulip Frontline Operations Platform
Tulip’s Frontline Operations Platform is empowering organizations to digitally transform their operations and gain real-time visibility into the people, tools, machines, and processes involved — all in a matter of days. With Tulip’s IIoT-enabled, no-code platform, companies can give the engineers closest to operations the tools they need to improve the productivity of their frontline teams, the quality of their output, and the efficiency of their operations. -
Partner Solution
APEx Quality Management at the Edge via Computer Vision
The computer vision-based quality analytics solution will automate the visual inspection process, then accurately identify, categorize, and label defect types. Data is used to determine the root cause of an issue by examining a timeline of rejected parts and the annotated image. Results are integrated with OEE calculations and Quality Management System to trigger corrective action. An MLOps framework was designed to facilitate the development, maintenance, and deployment of machine learning models. This framework is utilized to support the Quality Management use case. The solution can also be extended to other vision-based and AI/ML use cases. A gateway management tool was designed to support multi-site enterprise deployments. This tool will reduce the gateway deployment effort and provide a central location to monitor status and to manage functionality updates.
AWS for Automotive
AWS offers unmatched experience and industry expertise, working with automotive manufacturers, suppliers, and technology providers to accelerate breakthrough innovation for the next generation of vehicles. Discover how AWS can accelerate your success in automotive.
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