The BMW Group and AWS Team Up to Accelerate Data-Driven Innovation in the Automotive Industry

Today, Amazon Web Services (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and the BMW Group (OTCMKTS: BMWYY) announced a comprehensive strategic collaboration to further accelerate the automaker’s pace of innovation by placing data and analytics at the center of its decision-making. The companies will combine their strengths as industry leaders to jointly develop cloud-enabled solutions that increase efficiency, performance, and sustainability across every aspect of the automotive life cycle, from vehicle design to after-sales services. As part of the wide-ranging collaboration, the BMW Group will migrate data from across its business units and operations in over a hundred countries to AWS. The move will encompass a number of the BMW Group’s core IT systems and databases for functions such as sales, manufacturing, and maintenance, and will help them increase agility, achieve new insights, and more quickly innovate new customer experiences. In addition, the companies will invest in enabling and training up to 5,000 BMW Group-affiliated software engineers in the latest AWS technologies and empower the company’s global workforce to make better use of data.

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Central to its strategy, the BMW Group is working to expand a company-wide data lake built on Amazon Simple Storage Service (Amazon S3), named the “Cloud Data Hub,” so that it can leverage data to deliver innovation across its global businesses. The Cloud Data Hub provides employees throughout the company with a common operating picture of their entire organization and a central starting point for new development efforts. From the Cloud Data Hub, BMW Group employees will have access to the breadth and depth of AWS services, including Amazon SageMaker (AWS’s service that helps developers and data scientists build, train, and deploy machine learning models quickly in the cloud and at the edge), to process, interrogate, and enrich several petabytes of engineering, manufacturing, sales, and vehicle performance data. The BMW Group’s third-party partners like car dealerships, suppliers, and technology companies will also be able to securely contribute vehicle operating and maintenance data to the Cloud Data Hub and benefit from insights driven by machine learning. For instance, the BMW Group can apply machine learning to forecast demand for its range of vehicle models and individual equipment on a worldwide scale, as well as optimize planning across its sales, production, and purchasing units to deliver improved customer experiences.

AWS and the BMW Group will also collaborate on innovative products and solutions to improve operational performance and increase transparency in the supply chain. The BMW Group’s PartChain Platform uses AWS services such as Amazon Elastic Kubernetes Service (Amazon EKS) in conjunction with open-source blockchain management tools to enhance the traceability of automotive parts and critical raw materials throughout the automotive industry’s highly complex global supply chain. This allows the BMW Group to link specific parts and vehicles to assist in defect investigations, as well as validate that materials are coming from socially responsible sources. The BMW Group is also using Amazon SageMaker to examine data from vehicle subsystems, leveraging machine learning to predict the performance of parts, proactively recommend maintenance, and inform parts suppliers of potential issues with their manufacturing processes to improve quality.

As a core piece of this agreement, the companies will upskill and enable BMW Group employees to better apply data and analytics in their roles and take full advantage of the latest cloud technologies. AWS Professional Services and the BMW Group’s data scientists will work with BMW Group employees to identify business challenges, evaluate emerging technologies, and develop new cloud-enabled solutions for the automotive industry. For example, the companies plan to develop a natural language processing solution, optimized for terminology used in the automotive industry, that can automatically extract, process, and translate data from diverse text sources like factory reports, social media, and customer-facing chatbots to provide a more comprehensive view of issues across the BMW Group’s operations and identify insights relevant to customer service, marketing, compliance, maintenance, and related functions. With the support of AWS Training and Certification, the BMW Group plans to train up to 5,000 software engineers affiliated with the company, and certify more than 2,000 of that number, on AWS services, with an emphasis on machine learning and data analytics, to empower the company’s workforce to innovate.

“The BMW Group is driving digitalization and innovation in the automotive industry,” said Alexander Buresch, CIO and Senior Vice President, BMW Group IT. “We are making data central to the way we work and we look forward to collaborating with AWS to merge our talents, continuing to raise the bar for innovation among automakers and delivering exciting new experiences for our customers around the world.”

“AWS provides the most comprehensive suite of cloud offerings to enable automakers to build applications that touch every point in the customer journey. By combining the domain expertise of the BMW Group with AWS’s demonstrated leadership in the cloud, we’re expanding our impact across the automotive industry so that stakeholders, from parts manufacturers to mechanics, can benefit from greater visibility and insights,” said Matt Garman, Vice President of Sales & Marketing, Amazon Web Services, Inc. “As customer expectations evolve alongside automotive technologies, automakers can rely on AWS to help them seize opportunities and take the lead in areas such as electric and autonomous vehicles, ridesharing, data services, and more.”

About Amazon Web Services

For 14 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 175 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 77 Availability Zones (AZs) within 24 geographic regions, with announced plans for 18 more Availability Zones and six more AWS Regions in Australia, India, Indonesia, Japan, Spain, and Switzerland. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.

About the BMW Group

With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises 31 production and assembly facilities in 15 countries; the company has a global sales network in more than 140 countries. In 2019, the BMW Group sold over 2.5 million passenger vehicles and more than 175,000 motorcycles worldwide. The profit before tax in the financial year 2019 was € 7.118 billion on revenues amounting to € 104.210 billion. As of 31 December 2019, the BMW Group had a workforce of 126,016 employees.

The success of the BMW Group has always been based on long-term thinking and responsible action. The company has therefore established ecological and social sustainability throughout the value chain, comprehensive product responsibility and a clear commitment to conserving resources as an integral part of its strategy. www.bmwgroup.com

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