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Tech in Vancouver: A Timeline Infographic

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Part 1: The History of Tech in VancouverPart 2: Is Vancouver a Legitimate Tech Hub?Part 3: Future of Tech in Vancouver - Coming Aug 2014

Tech in Vancouver: History and Timeline

Part 1: The History of Tech in VancouverPart 2: Is Vancouver a Legitimate Tech Hub?Part 3: Future of Tech in Vancouver - Coming Aug 2014

Tech in Vancouver: History and Timeline

Recently, we asked ourselves the question: is Vancouver really a global tech hub or is that just the local spin?

In researching this, we came across an amazing wealth of information on the Vancouver tech scene and decided to turn it into a three part infographic series that covers the past, present, and future of tech in Vancouver.

To kick things off, we dug deep into Vancouver’s past to see how the industry emerged. It turns out that the birth of tech in The Rainy City stems from two main companies: MacDonald, Dettwiler and Associates and MPR Teltech. This Cantech Letter article does a great job documenting how they came on the scene and what the people behind these companies accomplished.

Over the last 40 years, Vancouver has had great homegrown stories in green energy (Ballard Power), video games (Distinctive Software), enterprise services (Crystal Decisions), space tech (MDA), social media collaboration (Hootsuite), quantum computing (D-Wave), and many other cutting edge areas. Because of that success, Vancouver was able to eventually attract the big boys to set up shop.

Now that we’ve established a timeline of Vancouver’s tech history, it is time to look at the present picture. That will be Part Two of the series, coming soon.

To keep posted on the next two parts of the series, subscribe to our e-mail publication or connect with us on social media: Twitter, Facebook, LinkedIn, Google+. If you’re feeling particularly generous, you can also tip us with bitcoin: 1HBy6xYNyexLDndowzs1mxMbviuWo9bxRv

Note: All job titles and names used in this graphic are for illustrative purposes and are not meant to correspond to actual people. We wanted to give an idea of what jobs during each era might be like, but without invading anyone’s privacy. Therefore, we used fictional names/titles.

Special thanks to the people who helped us build this infographic: The Visual Capitalist team and also Connie Chen who volunteered time to help us put together facts.

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AI

Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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