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AI in the automotive industry: How AI is taking the wheel.

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Mike McNamara
Mike McNamara
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More than ever before, customers’ needs, behaviors, and expectations are changing the automotive industry. To stay at the forefront of automotive innovation, artificial intelligence is no longer optional— it’s a prerequisite for industry leaders. Large datasets now make it possible to gain critical insights into roadways, people, and processes to further advancements in autonomous vehicles, mobility as a service (MaaS), and connected vehicles. And with Industry 4.0, the analytical and predictive power of AI is now revolutionizing the factory floor.

Autonomous vehicles

Mountains of data collected from cars, trucks, and even cargo ships are rapidly transferring driving responsibilities from human to machine. This data, combined with trained AI software and computer vision, enables AVs to accurately see their environment and make safe, real-time decisions without human intervention. As autonomous driving projects progress, autonomous driving teams can soon expect to accumulate hundreds of petabytes to exabytes of data. But to make actionable insights possible, the teams need an efficient data pipeline that spans edge, core, and cloud.

Mobility as a service

MaaS represents a huge opportunity for business growth. In fact, by the first year of autonomous taxi availability the United States alone is expected to reach 108 billion miles of demand. Through pay-per-use services like robotaxis and autonomous deliveries, creative companies are inventing new ways to transport customers and consumer goods. NetApp® AI solutions for automotive connect vehicles in mobility fleets to data centers, so companies get access to real-time data about customers and their desired routes.

Connected vehicles and services

Vehicles are moving to Internet of Things (IoT) platforms, connecting to the internet for seamless integration of entertainment, navigation features, and service reminders. AI, combined with natural language processing, enables in-car personal assistants to understand and respond to human speech. Soon connected vehicles will interact with one another to alleviate driving difficulties and make smart cities even smarter. Sharing data globally to enable connected-car development is where NetApp shines.

Smart manufacturing

Through AI, Industry 4.0 has revolutionized manufacturing, from process and efficiency management to quality control, intelligent maintenance, and more. In the automotive industry, unplanned downtime, or any misstep in the quality-control process, can cost manufacturers millions – or even billions – of dollars. NetApp AI solutions for manufacturing integrate with your existing IT infrastructure, delivering the performance, mobility, protection, and scalability you need to stay ahead of the game and reap the benefits of operating a smart factory.

Buckle up. AI is ready to go. Are you?

Today’s automotive AI workflows must connect across the organization, link large volumes of data from multiple sources, and seamlessly extend to the cloud. To experience the full horsepower that AI has to offer, you need a data infrastructure that provides the required speed, data mobility, and instant access to data. The good news is that NetApp has the experience and know-how to get you there.

Learn more about NetApp AI solutions for automotive.

Mike McNamara

Mike McNamara

Mike McNamara 是 NetApp 產品和解決方案行銷的資深主管,在資料管理和雲端儲存行銷領域擁有超過 25 年的豐富經驗。在十年前加入 NetApp 之前,Mike 曾任職於 Adaptec、Dell EMC 和 HPE 等公司。Mike 是推出第一方雲端儲存產品和業界第一款雲端連線 AI/ML 解決方案 (NetApp)、統一化橫向擴充和混合雲儲存系統與軟體 (NetApp)、iSCSI 和 SAS 儲存系統與軟體 (Adaptec),以及光纖通道儲存系統 (EMC CLARiiON) 的重要團隊領導者。此外他曾經擔任「光纖通道產業協會 (Fibre Channel Industry Association,FCIA)」的行銷主席,也是乙太網路技術高峰會議顧問委員會、乙太網路聯盟的成員,現在仍定期為業界期刊撰稿,並經常擔任活動講師。Mike 還透過 FriesenPress 出版了一本名為《橫向擴充儲存設備 - 企業資料管理的未來樣貌》的書籍,並被 Kapos 列為值得關注的 50 名 B2B 產品行銷人員。查看 Mike McNamara 的所有文章

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AI in the automotive industry: How AI is taking the wheel.