Infrastructure changes to enable autonomy are the most challenging automation project ever launched on the urban fabric.
Source: Intellias. How will urban infrastructure change with autonomous driving?
Ideally, autonomous systems will rely on a single digital information and resilient communications backbone to operate safely and efficiently.
Infrastructure changes to enable autonomy are the most challenging automation project ever launched on the urban fabric.
Source: Intellias. How will urban infrastructure change with autonomous driving?
This is not a race of companies; it’s a race of partnerships.
Source: Intellias. 5 Outcomes of the Autonomous Revolution
Autonomous applications, and technology companies with the strongest partner networks will most likely lead the race.
The war over artificial intelligence will be won with visual data.
Source:. Nisselson TechCrunch
Visual data is central to the way we learn about the world, and it follows that the pursuit of intelligent machines will require substantial advances in our ability to process and interpret visual data.
Edge computing becomes the catalyst for the wide-scale deployment of autonomous vehicles.
Source: State of the Edge Report, 2018
The road to autonomous mobility is paved with data. Inside and out, the data ecosystem requires an unprecedented range of computing, storage and network components.
Autonomous infrastructure at scale demands constantly connected streaming network telemetry!
Source: Self-Driving Networks Require Closed-Loop Visibility and Automation:IDC Directions 2019
Fifth generation (5G) mobile networks will be a key enabler of IoT, Smart Cities and Autonomy. Its key elements (beam forming, massive MIMO, fibre, spectrum) will enable higher speeds, more connections, and quicker, more adaptive response times – and will make a range of services available that we cannot even imagine today.


As we move deeper into 5G and cloud-native networks, the central cloud will make way for more adaptive and agile forms of mobile edge computing. This will enable operators to gravitate workloads closer to the massive data volumes generated by next generation of connected devices and machines – where the data is produced, insights are consumed and actions are taken. Low latency, high bandwidth and increased resiliency of mobile edge computing will enable real-time, intelligent and autonomous decision-making – making it an innovation playground for intelligent society and industry.
All physical objects are becoming intelligent, they’re becoming instrumented and they’re becoming connected and digitized and that is creating a stream of data that is enormous. This new edge of computing is really encompassing everything in our world from homes to cars to buildings to any type of equipment, clothes — it’s everywhere in the world.

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