15 UK tech scaleups join Tech Nation’s US Growth Workshop 4.0
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The global AI economy is just starting to boom. Despite reports claiming AI business has enjoyed years of significant growth, our new research reveals the real economic benefits and technological revolution are just beginning, and the UK is one of a number of important global players.
This summer, I spent a month in the US crunching numbers on the global AI economy as part of a joint project with data.world. Under the sweltering Texan sun, I analysed the makeup of innovators, influencers and businesses. What’s been created is a global picture of AI innovation – a unique take on the area presented as never seen before.
Research was split into two discrete sections. The first examined the levels of AI business across the international ecosystem. The second delved into the online and face-to-face communities of AI practitioners. The results in short:
The work comes at a time of intense AI media activity. What I have tried to do is bring clarity to an ever changing picture.
Bringing clarity to such a complex landscape was a challenge and required some fancy pants web-based data and analytics to provide an accurate and up-to-date picture. Intelligence from Pitchbook, Google Trends and Asgard provided timely and granular insights on the global AI business landscape. Meetup.com and the online tech forum Stack Overflow were provided information on global AI communities.
I would thoroughly recommend using Stack Overflow data for a research project – it’s fab. Stack Exchange, the company behind Stack Overflow, have a brilliant SQL compiler which allows anyone to search data on any of their platforms. This can be anything from language used in questions and answers, timestamps, tags or even user information. By comparison, data from meetup.com is accessed via their open API. I did this using cURL and R.
Great news. All data featured in this project is available online for non-commercial use by third parties. The data can be accessed through the data.world platform. If you use the data, please let us know. We would love to showcase your work. A full methodology can be found on the data.world too.
If you’d like know why we are doing this, check out our blog.
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