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- DIGITALIZING INDUSTRIES
Barcelona - 29-31 OCTOBER 2019
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General Audience

CT-11 – The Future of Information Technology through the Eyes of Intelligent Connected Vehicles

Congress Connected Transport

Tuesday 29, 18:15h - 19:00h Auditorium
18:15 19:00 Europe/Madrid CT-11 – The Future of Information Technology through the Eyes of Intelligent Connected Vehicles

Connected & autonomous vehicles will generate zettabytes of data and collect just as much from their surrounding environment. In fact, some of the data that should arguably be publicly accessible can help create products and services such as improved brakes that may eventually become standard. Creating cost-effective ecosystems is key to achieving the highest ROI. In this session, we will explore what data should be stored in the vehicle, the cloud, the edge, or at a data center; how data is collected from other vehicles, infrastructure, and the environment through sensors; and how to set up data management systems to collect, index, and tag the data to aid analysis and support AI workloads. We will consider different scenarios, such as using black box systems vs. allowing small data sets that can be translated to stakeholders such as governments and other organizations.

Auditorium

Connected & autonomous vehicles will generate zettabytes of data and collect just as much from their surrounding environment. In fact, some of the data that should arguably be publicly accessible can help create products and services such as improved brakes that may eventually become standard. Creating cost-effective ecosystems is key to achieving the highest ROI. In this session, we will explore what data should be stored in the vehicle, the cloud, the edge, or at a data center; how data is collected from other vehicles, infrastructure, and the environment through sensors; and how to set up data management systems to collect, index, and tag the data to aid analysis and support AI workloads. We will consider different scenarios, such as using black box systems vs. allowing small data sets that can be translated to stakeholders such as governments and other organizations.

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