The IoV (The Internet of Vehicles) will have grown to 5.8 billion endpoints by 20201.Engine data, driver performance, maintenance, even data on human signals like fatigue are being generated at all times. Future vehicles will have ever-advancing sentience, as the ultimate merger of human and machine evolves.
A wide range of organizations, from suppliers to mobility providers are scaling infrastructures at the edge; bringing vehicles and intelligence closer. They’re also scaling at the core and cloud to handle exponential data growth with agility.
Challenges like teaching autonomous vehicles to drive is incredibly data and compute intensive. The ability to achieve feats like this requires an agile, integrated, software-defined infrastructure. It must span everything; from edge to core, across multiple clouds and be able to manage huge data growth securely and cost-effectively.
Getting value from data requires a cost-effective platform-centric strategy that’s ready to handle today’s immediate needs. It must be flexible enough to allow rapid integration of scalable infrastructures as well as new and emerging technologies and services.
Attracting and hiring skilled talent in the mobility market is critical to success. One way to help achieve this is to offer great technology experiences, tools and devices to workers wherever they are. Organizations are also partnering with technology experts to bridge talent gaps and gain valuable skills.
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