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BMW Group + Qualcomm + AWS = Faster Time to Market for Automated Driving Features
Developing an advanced driver assistance system (ADAS) requires large-scale data storage, processing, and simulation involving hundreds of petabytes of data. And, at any one time, data has to be accessible by thousands of users. BMW Group cloud solution architect Jörg Krebs explains how BMW worked with Qualcomm to build an automated driving platform on AWS. Using advanced artificial intelligence models and with well-architected modules, BMW development teams have the power to speed time to market for the next generation of vehicles.
AWS brought together all of their team into one place in Munich and after aligning the technical architecture and design with us, they started to code like crazy. They were able to build the platform within 8 weeks. [This was] only possible because they had existing reference architectures, frameworks, and blueprints right at hand.”
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.
At the AWS Summit Berlin 2018, BMW Group presented a deep dive into the journey from an on-premises, monolithic application to a microservices-based platform in the cloud.
In this session, we will explore the BMW Cloud Data Hub, and how BMW and AWS have teamed up to accelerate data driven innovation enterprise-wide. We'll then switch gears to discuss the AWS Autonomous Driving Data Lake reference architecture to learn how customers manage the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems by using Amazon EMR, Amazon S3 and Amazon SageMaker Ground Truth, among others.
Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.