Chart of the Week
Chart: The AI-mazing Patent Race
Chart: The AI-mazing Patent Race
The Chart of the Week is a weekly Visual Capitalist feature on Fridays.
Artificial Intelligence is transforming the way we live, and the tech giants are racing to stay ahead of the curve.
AI-related funding totaled an estimated $15.2 billion in 2017, a 144% increase over the previous year. The U.S. tech industry leads with a 50% share of those investments, even with China swiftly closing the gap in terms of patents and AI research.
AI itself isn’t new, but boosted computing power, increased connectivity, and the sheer volume of data has paved the way for the fourth industrial revolution of AI.
“The coming era will be looked back upon as the ‘AI era,’ when AI became the defining competitive advantage for corporations, government agencies, and investment professionals,” predicts David Nadler, founder of Kensho Technologies.
The Potential of AI
Artificial Intelligence is less about sentience and more about accelerated learning.
AI technology looks for patterns, learns from experience, and predicts responses based on historical data. An AI-powered computer can’t produce a unique thought, but it can probably predict yours. The end result: AI is able to learn new things at such a speed that it can predict your behavior and preempt your requests.
From the advancements in natural language processing that make Siri and Alexa possible, to the machine learning advancements that give robo-advisors their trading chops, AI’s ability to simulate human thinking means it can also streamline our lives. It can preempt our needs and requests, making products and services more user friendly as machines learn our needs and figure out how to serve us better.
This makes AI a vital source of competitive advantage.
AI’s Competitive Advantage
In their quest to stay on top of the Silicon Valley food chain, familiar tech and retail giants are dipping their toes in AI to execute diverse strategies:
Amazon
Amazon leverages AI technology to analyze and predict your shopping patterns. Alexa is very Artificially Intelligent indeed, and the revolutionary Amazon Go model continues to push the boundaries of AI tech on the ground.
Google
Google uses machine learning and pattern recognition in its search and facial recognition services, as well as natural language processing for real-time language translation. The company has also released a series of smart home products, like the Nest thermostat. After acquiring more than 50 AI startups in 2015-16, this seems like only the beginning for Google’s AI upgrade.
Microsoft
Microsoft’s Cortana is powered by machine learning, allowing the virtual assistant to build insight and expertise over time. In 2016, the tech giant added Research and AI as their fourth silo alongside Office, Windows, and Cloud, with the stated goal of making broad-spectrum AI application more accessible and everyday machines more intelligent.
Apple
Apple is notoriously tight-lipped about their AI research, but it’s safe to say Siri is only the tip of the iceberg. The tech giant received a patent this year for augmented-reality glasses, slated for a release in 2020.
Facebook
Facebook uses artificial intelligence to suggest photo tags, populate your newsfeed, and detect bots and fake users. The social media giant has also come under fire for their widespread use of AI analytics to target users for marketing and messaging purposes.
These tech kings are driving the research that will increasingly intertwine our lives with artificial intelligence, and it’s that investment that just might secure their future.
Chart of the Week
The Road to Recovery: Which Economies are Reopening?
We look at mobility rates as well as COVID-19 recovery rates for 41 economies, to see which countries are reopening for business.
The Road to Recovery: Which Economies are Reopening?
COVID-19 has brought the world to a halt—but after months of uncertainty, it seems that the situation is slowly taking a turn for the better.
Today’s chart measures the extent to which 41 major economies are reopening, by plotting two metrics for each country: the mobility rate and the COVID-19 recovery rate:
- Mobility Index
This refers to the change in activity around workplaces, subtracting activity around residences, measured as a percentage deviation from the baseline. - COVID-19 Recovery Rate
The number of recovered cases in a country is measured as the percentage of total cases.
Data for the first measure comes from Google’s COVID-19 Community Mobility Reports, which relies on aggregated, anonymous location history data from individuals. Note that China does not show up in the graphic as the government bans Google services.
COVID-19 recovery rates rely on values from CoronaTracker, using aggregated information from multiple global and governmental databases such as WHO and CDC.
Reopening Economies, One Step at a Time
In general, the higher the mobility rate, the more economic activity this signifies. In most cases, mobility rate also correlates with a higher rate of recovered people in the population.
Here’s how these countries fare based on the above metrics.
Country | Mobility Rate | Recovery Rate | Total Cases | Total Recovered |
---|---|---|---|---|
Argentina | -56% | 31.40% | 14,702 | 4,617 |
Australia | -41% | 92.03% | 7,150 | 6,580 |
Austria | -100% | 91.93% | 16,628 | 15,286 |
Belgium | -105% | 26.92% | 57,849 | 15,572 |
Brazil | -48% | 44.02% | 438,812 | 193,181 |
Canada | -67% | 52.91% | 88,512 | 46,831 |
Chile | -110% | 41.58% | 86,943 | 36,150 |
Colombia | -73% | 26.28% | 25,366 | 6,665 |
Czechia | -29% | 70.68% | 9,140 | 6,460 |
Denmark | -93% | 88.43% | 11,512 | 10,180 |
Finland | -93% | 81.57% | 6,743 | 5,500 |
France | -100% | 36.08% | 186,238 | 67,191 |
Germany | -99% | 89.45% | 182,452 | 163,200 |
Greece | -32% | 47.28% | 2,906 | 1,374 |
Hong Kong | -10% | 97.00% | 1,067 | 1,035 |
Hungary | -49% | 52.31% | 3,816 | 1,996 |
India | -65% | 42.88% | 165,386 | 70,920 |
Indonesia | -77% | 25.43% | 24,538 | 6,240 |
Ireland | -79% | 88.92% | 24,841 | 22,089 |
Israel | -31% | 87.00% | 16,872 | 14,679 |
Italy | -52% | 64.99% | 231,732 | 150,604 |
Japan | -33% | 84.80% | 16,683 | 14,147 |
Malaysia | -53% | 80.86% | 7,629 | 6,169 |
Mexico | -69% | 69.70% | 78,023 | 54,383 |
Netherlands | -97% | 0.01% | 45,950 | 3 |
New Zealand | -21% | 98.01% | 1,504 | 1,474 |
Norway | -100% | 91.87% | 8,411 | 7,727 |
Philippines | -87% | 23.08% | 15,588 | 3,598 |
Poland | -36% | 46.27% | 22,825 | 10,560 |
Portugal | -65% | 58.99% | 31,596 | 18,637 |
Singapore | -105% | 55.02% | 33,249 | 18,294 |
South Africa | -74% | 52.44% | 27,403 | 14,370 |
South Korea | -4% | 91.15% | 11,344 | 10,340 |
Spain | -67% | 69.11% | 284,986 | 196,958 |
Sweden | -93% | 13.91% | 35,727 | 4,971 |
Switzerland | -101% | 91.90% | 30,796 | 28,300 |
Taiwan | 4% | 95.24% | 441 | 420 |
Thailand | -36% | 96.08% | 3,065 | 2,945 |
U.S. | -56% | 28.20% | 1,768,346 | 498,720 |
United Kingdom | -82% | 0.05% | 269,127 | 135 |
Vietnam | 15% | 85.02% | 327 | 278 |
Mobility data as of May 21, 2020 (Latest available). COVID-19 case data as of May 29, 2020.
In the main scatterplot visualization, we’ve taken things a step further, assigning these countries into four distinct quadrants:
1. High Mobility, High Recovery
High recovery rates are resulting in lifted restrictions for countries in this quadrant, and people are steadily returning to work.
New Zealand has earned praise for its early and effective pandemic response, allowing it to curtail the total number of cases. This has resulted in a 98% recovery rate, the highest of all countries. After almost 50 days of lockdown, the government is recommending a flexible four-day work week to boost the economy back up.
2. High Mobility, Low Recovery
Despite low COVID-19 related recoveries, mobility rates of countries in this quadrant remain higher than average. Some countries have loosened lockdown measures, while others did not have strict measures in place to begin with.
Brazil is an interesting case study to consider here. After deferring lockdown decisions to state and local levels, the country is now averaging the highest number of daily cases out of any country. On May 28th, for example, the country had 24,151 new cases and 1,067 new deaths.
3. Low Mobility, High Recovery
Countries in this quadrant are playing it safe, and holding off on reopening their economies until the population has fully recovered.
Italy, the once-epicenter for the crisis in Europe is understandably wary of cases rising back up to critical levels. As a result, it has opted to keep its activity to a minimum to try and boost the 65% recovery rate, even as it slowly emerges from over 10 weeks of lockdown.
4. Low Mobility, Low Recovery
Last but not least, people in these countries are cautiously remaining indoors as their governments continue to work on crisis response.
With a low 0.05% recovery rate, the United Kingdom has no immediate plans to reopen. A two-week lag time in reporting discharged patients from NHS services may also be contributing to this low number. Although new cases are leveling off, the country has the highest coronavirus-caused death toll across Europe.
The U.S. also sits in this quadrant with over 1.7 million cases and counting. Recently, some states have opted to ease restrictions on social and business activity, which could potentially result in case numbers climbing back up.
Over in Sweden, a controversial herd immunity strategy meant that the country continued business as usual amid the rest of Europe’s heightened regulations. Sweden’s COVID-19 recovery rate sits at only 13.9%, and the country’s -93% mobility rate implies that people have been taking their own precautions.
COVID-19’s Impact on the Future
It’s important to note that a “second wave” of new cases could upend plans to reopen economies. As countries reckon with these competing risks of health and economic activity, there is no clear answer around the right path to take.
COVID-19 is a catalyst for an entirely different future, but interestingly, it’s one that has been in the works for a while.
Without being melodramatic, COVID-19 is like the last nail in the coffin of globalization…The 2008-2009 crisis gave globalization a big hit, as did Brexit, as did the U.S.-China trade war, but COVID is taking it to a new level.
—Carmen Reinhart, incoming Chief Economist for the World Bank
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