The artificial intelligence and machine learning community is quickly becoming one of the most dynamic, exciting and global ones. VCs have been fast to take notice of what is not just a passing trend, but an indicator of just how much artificial intelligence is positioned to change fundamental aspects of our society, from the division of labour to how we make decisions on a day-to-day basis. In fact, the number of VC-backed investments in AI rose from 160 in 2012 to 658 deals in 2016. What’s more, over 550 startups that rely on AI as a key part of their technology raised $5B in funding in 2016. The funds flowing into AI and machine learning raises the question of where expertise to fulfill opportunities in AI and machine learning are originating from.
A recent article from The Economist sheds light on how leading tech firms often need to recruit researchers and engineers from robotics and machine learning programs at traditional universities due to the lack of deep knowledge and skills in AI in the market. While the field of AI and machine learning is a few decades old, few have built a history of proven expertise in the area. Moreover, the talent shortage is further strained by a shortage of learning opportunities for engineers motivated to learn about machine learning and AI. Read More