Since then, Korean news reports, which were graciously translated translated and shared with us by Rufina K. Second, for an even more advanced subset, we captured the names of leading AI conference presenters who we consider to be influential experts in their respective fields of AI.
To qualify for this subset, these profiles must also have mentioned Report on talent planning or Artificial Intelligence in addition to one or more advanced concepts, such as deep learning, artificial neural networks, machine learning, computer vision, natural language processing, or robotics.
Our searches found candidates in China, in Singapore, in Japan, and in Korea. This conference was a big success, drawing in expert researchers from all over Africa and the rest of the world to talk about real-world applications of deep learning in the continent. A substantial portion of these experts have worked, at some point, for either GoogleMicrosoftor IBMand have anywhere between three and 10 years of experience working.
Using these very broad parameters, we identified a total of 22, experts. Although these data visualizations map the distribution of worldwide talent at the start ofwe want to acknowledge that this is a predominantly Western-centric model of AI expertise.
For our visualization, we decided to plot the less conservative estimate, in order to capture talent with potentially interdisciplinary skills. Overall, it is fairly clear that in recent years, Europe has steadily become a competitive location for finding AI talent.
Michael James Milne, director at Kaishi Partners, estimated in correspondence that there are more likely to be around 1, qualified AI experts currently in Singapore and Southeast Asia. These pecuniary advances have already netted some results: Even though we relied primarily on English-language data sources, our view of the talent pool provides a good global representation of the Report on talent planning experts that the field currently has to offer.
Other European countries also had significant numbers of experts: The demand for AI experts has grown exponentially over the last few years. The same goes for the careful examination of presentations at academic conferences. First, we used the results from several LinkedIn searches, which showed us the total number of profiles according to our own specialized parameters.
Barrera sees the potential for this trend to continue: Despite the fact that our searches turned up lower numbers in Asia, paper publications and funding show a different story.
Timnit Gebru, a postdoctoral researcher at Microsoft Research and a member of the FATE Fairness Transparency Accountability and Ethics in AI group, has pointed out in correspondence that machine learning in Africa is privy to a wealth of different kinds of funding: Asia The North American and European AI dominance that we have covered so far does not, however, paint the full picture of global talent.
The Canadian AI talent pool has been refilling with former students and new international researchers alike, with Montreal leading the charge Facebook, Google, Uber, Samsung, DeepMind have all set up labs there, among others and Toronto, Edmonton and Vancouver close in tow.
A recent tabulation of LinkedIn users by country done by Meenakshi Chaudhary points out a large discrepancy in LinkedIn user penetration rates, even among developed countries. Industry has been a big player in the UK, which has led to significant brain drain: By comparison, the U.
In the smaller, more advanced subset, we have found that there are currently 5, AI experts in the world who are publishing and presenting at leading AI conferences across the globe and who are well-versed enough in the technology to work with teams taking to take it from research to application.
Singapore Recent reports have also emphasized the extent to which Singapore is quickly becoming an artificial intelligence research hub. Most of the LinkedIn experts listed their field of study as either Computer Science 12, or Computer Engineering 3, —— less common fields of study included Mathematics 2,Physics 2,and IT 1, As a result, China has been able to make big leaps in academia below the radar of the West.
This report summarizes our research into the scope and breadth of the worldwide AI talent pool. Email Address Nothing more than blog posts, I promise.
Gebru has recently hosted the very first Black in AI workshop at NIPSwhich focused not only on the research currently being done in Africa, but also AI work done by black researchers all over the world.
LinkedIn Using LinkedIn, we broke down these search criteria to capture a broad view of what it means to be an AI specialist. While having a strong industry presence in AI, it is clear that academic research in Korea, ranked 7th in number of AI dissertations, is not yet quite as strong as in China or Japan.
Japan Unlike China, Japan has a long history of robotics and artificial intelligence research which has largely gone undiscussed in the media. Such advances in funding could spur an industry which has the history and research power to harness home-grown talent. According to our broadest LinkedIn measures, we have found that there are roughly 22, PhD-educated researchers in the entire world who are capable of working in AI research and applications, with only 3, candidates currently looking for work.
By limiting our search to several English-speaking conferences in the Western world, we risk missing other institutions where AI research and development is done: Nouha Abardazzou, writing for How We Made it in Africasupports the claim that AI has largely manifested itself in agriculture and healthcare partially by way of mobile development.
Traditionally seen as a reliable marker of research activity, published papers are a good indicator of talent growth in the region, although the influence and quality of these papers is contested by some. Finally, we relied on other reports and anecdotes from the global community to put our numbers in greater context and see how the picture may develop in the near future.
In this talent pool, we found 5, experts who have presented a research paper in the last few years. Asia has been vastly underrepresented in our LinkedIn and conference presentation data, primarily due to our Anglo-centric approach. We will also cover the reasons why the West-East divide in the talent markets is so prominent and has been so hard to bridge.
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See for yourself how Saba’s talent management technologies can help your organization. Summary. For further commentary beyond the report, see the accompanying blog post. For a table of the full list of countries and their numbers, or to submit information about the talent pool in your region, send a message using the contact form.
The demand for AI experts has grown exponentially over the last few years.Download