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According to The Next Web
2017 was an exciting year for driverless cars: from Waymo testing driverless cars on city streets for the first time, to the UK Government’s plans to launch driverless cars onto the roads in 2021, in the past twelve months we’ve seen faster development of driverless car technology than ever before.
This year could be even more exciting. However, in order to maintain momentum, we need to tackle one issue head on: training technical talent.
Limitless potential, limited talent pool
Self-driving cars have the potential to change the world in ways we haven’t yet fully realized. This untapped potential is what got me into a career in autonomous vehicles in the first place. The way that we build our roads, organize our travel and move about in our cities will change forever, and, I think, for the better.
One not-so-small problem: very few people know how to program driverless cars. A self-driving car integrates multiple types of highly-complex technology: automotive engineering, software expertise, statistics and probability, machine learning, mathematics, and more. Successful self-driving car engineers have a combination of very specific (and often rare) skill sets.
The driverless skills gap
Countries around the world are suffering from a digital skills gap. The British Chambers of Commerce found that three in four UK businesses report a digital skills shortage among their employees, while in the US the National Federation of Independent Business reports that 45 percent of small businesses were unable to find qualified applicants to fill job openings.
The problem is supply and demand: the demand for the technical skills that make great self-driving car engineers is growing much faster than the supply of capable engineers. Traditional educational institutions — schools, universities and vocational colleges — sometimes struggle to keep up with the pace of change in the private sector, and their curriculums can sometimes lag behind the times as a result…
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