Customer Stories / Automotive / Germany
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AWS re:Invent 2023
BMW Group Uses AWS and Generative AI to Maintain Its Premium Edge
Jens Kohl, BMW Group head of offboard architecture, talks about how the company continuously strives to deliver services that delight customers. Driving innovation in the automotive sector, its 450 DevOps teams worldwide use AWS and generative artificial intelligence (AI) to improve quality, sustainability, and reliability, while reducing costs. Using Amazon Bedrock, BMW can use the latest foundation models and knows that data remains secure within the company’s ecosystem.
Learn more about how BMW Group continues to innovate on AWS.
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We try to make the driving experience even more enjoyable. A good example of this is how we use Amazon Fire TV in the backseats of our i7. And another example is our Intelligent Personal Assistant powered by Amazon Alexa.”
Jens Kohl
Head of Offboard Architecture, BMW Group
AWS Services Used
Amazon Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
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Germany
BMW Group in AWS
BMW Group è uno dei principali produttori mondiali di automobili e motocicli premium, comprendente i marchi BMW, BMW Motorrad, Mini e Rolls-Royce. BMW Group ha riprogettato e migrato i suoi data lake on-premise nel cloud utilizzando Amazon Web Services (AWS) per innovare ed espandersi al fine di soddisfare la domanda dei suoi stakeholder in tutto il mondo. Il Cloud Data Hub (CDH) aziendale elabora e combina dati anonimizzati raccolti dai sensori dei veicoli e da altre fonti all'interno dell'organizzazione rendendoli più fruibili ai team interni per la creazione di applicazioni rivolte ai clienti e ai dipendenti. BMW Group si affida ad AWS per ottenere l'agilità e la flessibilità necessarie per democratizzare l'utilizzo dei dati su larga scala e accelerare l’innovazione.
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