Generative AI for Automotive
With enterprise-grade security and privacy, a choice of leading foundation models, a data-first approach, and the most performant, low-cost infrastructure, automakers trust working with AWS to accelerate generative AI-powered innovation. With generative AI on AWS, you can reduce the time and cost of bringing vehicles to market, boost enterprise productivity, and transform the customer experience.
Where generative AI can add value to the Automotive industry
Accelerate vehicle technology innovation
With access to a choice of leading foundation models (FMs), robust security, and the broadest partner and developer community, AWS is the easiest place to get started building and scaling generative AI-powered applications that enable global teams to collaboratively develop, test, and deploy software defined vehicle systems faster.
Everything you need to build a data foundation
AWS provides the most comprehensive set of data and AI/ML capabilities to build an end-to-end data foundation that fuels automotive innovation by enabling customers to differentiate generative AI applications with their own data and make data easier to work with for everyone who needs it across the organization.
Personalize the customer experience
With security, privacy, and responsible AI practices built in, generative AI on AWS lets customers infuse personalization at every customer touchpoint, from the website to inside the car itself, delivering tailored experiences that foster trust, inspire loyalty, and exceed expectations.
Latest Automotive News
Augmenting Datasets using Generative AI and Amazon Sagemaker for Autonomous Driving Use Cases on AWS
This blog post describes how GenAI can be used to help overcome some of the classical challenges in Computer Vision. Concretely, it will introduce a combination of cutting-edge models in computer vision and GenAI and explore different model configurations to understand the potential of applying this technology in the automotive industry.
BMW Group Develops a GenAI Assistant to Accelerate Infrastructure Optimization on AWS
GenAI is rapidly transforming businesses and unlocking new possibilities across industries. After years of experience using AI for applications such as predictive maintenance and autonomous driving, BMW is now using large language models (LLMs) in Amazon Bedrock to implement ICCA on AWS.
How Audi improved their chat experience with Generative AI on Amazon SageMaker
In this blog, we discuss how Audi improved their chat experience, by using a Generative AI solution on Amazon SageMaker, and dive deeper into the background of the essential components of their
chatbot, by showcasing how to deploy and consume two state-of-the-art
Large Language Models (LLMs), Falcon 7B-Instruct, designed for Natural Language Processing (NLP) tasks in specific domains where the model follows user instructions and produces the desired output, and Llama-2 13B-Chat, designed for conversational contexts where the model responds to user’s messages in a natural and engaged way.
AWS for Automotive Generative AI Featured Use Cases
Hear from AWS for Automotive customers on how they are unlocking the potential of generative AI.
Improve developer productivity and accelerate software development
Using a Large Language Model (LLM) trained on internal best practice documentation and cloud service documentation, you can create a developer assistant that understands natural language to answer questions, analyze your cloud infrastructure, identify optimization opportunities, and resolve issues. As a result, DevOps teams can quickly identify and resolve bottlenecks, enhance security, implement cost-savings measures, and accelerate software development. BMW Group uses generative AI to optimize its cloud infrastructure.
Learn more »
Accelerate scene discovery for AV/ADAS feature innovation
Instead of scanning through hours of video images to find the scenes you need to train ML models for autonomous vehicles (AV) and advanced driver assistance systems (ADAS), you can use generative AI to easily search for scenes using natural language, like “pedestrians crosswalk rainy day.” With the ability to quickly find scenes critical for ML model training, engineers can spend more time on innovation to deliver vehicles and features into production more quickly.
Learn more »
Expedite and simplify vehicle diagnostics and repair
Generative AI can expedite and simplify the way vehicles are diagnosed and repaired by enabling natural language interactions with an AI-powered assistant, making the process more intuitive and accessible for technicians. For example, instead of dealing with a fault code like "P0420," a technician could simply type, "The check engine light is on, and the vehicle is experiencing reduced fuel efficiency." The AI-powered assistant can analyze this description, cross-reference it with its knowledge base, and provide a detailed diagnosis for the technician to review and verify, along with step-by-step repair instructions, resulting in technicians resolving issues faster.
Learn more »
AWS for Automotive Resources
Ferrari
Ferrari Advances Generative AI for Customer Personalization and Production Efficiency
Ferrari uses generative AI to deliver the best digital experiences for customers, dealers, and employees. It applied generative AI to several use cases, from accelerating the vehicle design process to providing personalized services to its customers.
Generative AI AWS Partners for Automotive
Learn how AWS Partners are building solutions using Generative AI on AWS to boost productivity, build differentiated experiences, and innovate faster.
Generative AI AWS Partners for Automotive
Learn how AWS Partners are building solutions using Generative AI on AWS to boost productivity, build differentiated experiences, and innovate faster.
Tools for building generative AI applications
Data as your differentiator
Build and scale generative AI applications
Most performant, low-cost infrastructure
Get started
Leading industries are already using AWS Generative AI. Contact our experts to start your journey today.
Get started with AWS »