New schools seek to bring AI, programming literacy to fill the talent gap

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  • “The AI talent shortage isn’t merely a matter of AI engineers, either. Software developers were the workers in highest demand in 2020, according to LinkedIn data, and Microsoft estimates that the next five years will see the creation of around 149 million new technology-oriented jobs with most roles in software development.
  • In fact, as far back as 2017, Gartner predicted app development demand would outstrip IT’s capacity to deliver it through 2021, as highlighted by Daniel Kroening in The Wall Street Journal.
  • More than 40 computer science academics left for high-paying private-sector jobs in 2018 compared to 15 in 2012 and none in 2004
  • CS does not even count toward high school graduation in 35 out of 50 U.S. states, though 58% of all new STEM jobs are in computing.”

How To Succeed With Enterprise AI: Buy Vs. Build

Buy vs. Build

“Today (according to the TalentSeer 2020 AI Talent Report), if you want to hire AI engineers, you must be willing to pay north of $350K in total compensation to win against Amazon, Google, Microsoft, Facebook, and many growing start-ups.

Examples of other solutions that can provide AI PaaS solutions include:

●     TensorFlow – open-source, 

●     Petuum – ease-of-use, 

●     NeuralDesigner – neural networks, and

DataRobot – visual interface.”

Lack of AI skills a myth – Gartner

  • “A Gartner survey of 607 IT leaders in November and December 2019 found that only 7% of respondents said that limited AI skills are a barrier to AI implementation.
  • Gartner says organisations with the lowest AI maturity level are not experiencing a shortage of AI skills, with 56% reporting they either have enough talent or can easily hire or train AI talent.”

Tencent says there are only 300,000 AI engineers worldwide, but millions are needed

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  • “Tencent’s new “2017 Global AI Talent White Paper” suggests the bottleneck here is education. It estimates that 200,000 of the 300,000 active researchers are already employed in various industries (not just tech), while the remaining 100,000 are still studying. Attendance in machine learning and AI courses has skyrocketed in recent years, as has enrollment in online courses, but there is obviously a lag as individuals complete their education.”