How AI and Big Data Will Unlock the Next Mineral Discovery
Emerging technologies such as artificial intelligence (AI) and machine learning are rapidly proving their value across many industries.
Today’s infographic comes from GoldSpot Discoveries, and it shows that when this tech is applied to massive geological data sets, that there is growing potential to unlock the next wave of mineral discoveries.
Mineral Exploration: Fortunes Go to the Few
Discovering new sources of minerals, such as copper, gold, or even cobalt, can be notoriously difficult but also very rewarding. According to Goldspot, the chance of finding a new deposit is around 0.5%, with odds improving to 5% if exploration takes place near a known resource.
On the whole, mineral exploration has not been a winning prospect if you compare the total dollar spend and the actual value of the resulting discoveries.
Measuring Discovery Performance by Region (2005 to 2014)
|Region||Exploration Spend||Estimated Value of Discoveries||Value/Spend ratio|
|Australia||$13 billion||$13 billion||0.97|
|Canada||$25 billion||$19 billion||0.77|
|USA||$10 billion||$5 billion||0.48|
|Latin America||$33 billion||$19 billion||0.57|
|Pacific/SE Asia||$8 billion||$4 billion||0.49|
|Africa||$20 billion||$23 billion||1.19|
|Western Europe||$4 billion||$2 billion||0.42|
|Rest of World||$27 billion||$8 billion||0.32|
|Total||$140 billion||$93 billion||0.57|
Figures in 2014 dollars. (Source: MinEx Consulting, March 2015)
Aside from the geographic insights, on the surface this data reveals that mineral exploration does not pay for itself. That said, there are still significant discoveries worth billions of dollars – it’s just the returns go inordinately to a few small players that make big finds.
Much of the money spent on exploration may not have produced the next great discovery, but you can be sure it created massive volumes of data that could be used for further refining of exploration models.
So, What is the Problem?
Every exploration failure or success produces geological insights. The mineral exploration process is the source of massive amounts of data in the form of soil samples, chip samples, geochemistry, drill results, and assay results. Each drill hole is a tiny snapshot into the processes that form the earth.
A single drill hole can create 200 megabytes of data and when there are many drill holes coupled with other types of information, an exploration project can produce terabytes of data. If you wanted to compare your one project to hundreds of others to find the best insights, the amount of data becomes dizzying.
All these data points are clues that can be used to find new mineral deposits, but to sort through them is too much for even an entire team of capable geologists.
Luckily, using today’s technology, this data can now be used to train computers to spot the areas showing similar patterns to past discoveries.
The true power of AI will be in its ability to empower technically trained professionals to make decisions in an increasingly complex and data-driven world.
Professor Ajay Agrawal, a noted academic in AI and founder of the University of Toronto’s Creative Destruction Lab, categorizes human activities into five categories:
- Data collection
- Information retrieval
He concludes that machines should do the first three and that humans – such as geologists, doctors, lawyers, investment bankers and others – should make the judgment calls and take the actions based on predictive capabilities of AI.
The mineral exploration industry presents a good example of how AI and big data can help technical professionals make discoveries faster, with less money, using a wide variety of data inputs created.
Opportunity Generator and the AI-friendly Future
AI can take the large amounts of data from many different projects in order to spot the right opportunities to further explore, building on decades of geological data from projects around the world.
The right technology can help reduce the risk inherent in exploration and lead to more mineral discoveries on budget, rewarding those that deployed their data most effectively. Companies that are able to harness this power will tip the scales in their favor.
As a result, mineral exploration is no longer so much an art of interpretation – but instead, it becomes closer to a pure science, giving geologists a whole-field perspective of all the data.
How Do Esports Companies Compare with Sports Teams?
With some esports companies more valuable than traditional sports teams, we visualize esports vs sports in franchise value.
How Do Esports Companies Compare with Sports Teams?
Are esports on the same level as “real” sports? These comparisons range from tricky to subjective, but the monetary value of companies speak for themselves.
The world’s largest esports companies have definitely risen to the occasion. Valued at almost half-a-billion dollars, they’ve started to pass some sports franchises in value.
In the above graphic, we compare Forbes’ valuation of the top 10 esports companies in 2020 against median franchises in the “Big Four” major leagues (NFL, MLB, NBA, and NHL). Despite competitive gaming’s rapid growth, there’s still a long way left to go.
Esports Impress but NFL Teams Reign Supreme
The world’s top esports companies have grown quickly, and impressively.
As of 2018, there was only one esports company worth more than $300 million in valuation. By 2020, four of the top 10 were valued at more than $300 million.
|Esports Company||Games with Franchises||Value (2020)|
|TSM||League of Legends||$410M|
|Cloud9||League of Legends, Overwatch||$350M|
|Team Liquid||League of Legends||$310M|
|FaZe Clan||Call of Duty||$305M|
|100 Thieves||League of Legends, Call of Duty||$190M|
|Gen.G||League of Legends, Overwatch, NBA 2K||$185M|
|Enthusiast Gaming||Call of Duty, Overwatch||$180M|
|G2 Esports||League of Legends||$175M|
|NRG Esports||Call of Duty, Overwatch||$155M|
|T1||League of Legends||$150M|
When compared to traditional sports valuations, esports companies have already reached major league hockey status.
TSM, the world’s most valuable esports company in 2020, has a higher valuation than five NHL franchises. In fact, four esports companies were estimated to be more valuable than two NHL franchises, the Florida Panthers and Arizona Coyotes.
But other sports leagues are further away. While the median value of an NHL franchise in 2020 was $520 million, the MLB, NBA, and NFL all saw median values of over $1.6 billion.
|Esports vs. Sports Franchises||Lowest Valued Team||Highest Valued Team||Median|
|Esports (Top 10)||$150M||$410M||$188M|
Differences in Esports vs Sports Structures and Growth
Try as we might to make a clean apples-to-apples comparison between esports and traditional sports teams, there are significant differences in the business models to consider.
For starters, major esports companies own multiple franchises and non-franchise teams across many games. Cloud9 owns both the eponymous Cloud9 League of Legends franchise and the London Spitfire Overwatch franchise, for example, as well as non-franchise teams in Halo, Counter Strike: Global Offensive, Fortnite, and other games.
The revenue streams for esports companies are also extremely varied. Companies like TSM, 100 Thieves, FaZe Clan and Enthusiast Gaming made 50% or more of their revenue from outside of esports, having instead expanded into diverse companies with an equal focus on content creation and apps.
But it’s this greater ability to diversify, and the still-increasing size of esports fandom, that continues to grow esports valuations. In fact, TSM’s estimated 2020 revenue of $45 million is less than half of the Arizona Coyotes’ estimated revenue of $95 million, despite a $100+ million valuation difference in favor of TSM.
That’s why the continued maturation of esports is only going to make traditional sports comparisons easier, and closer. Instead of having to pit companies against franchises, direct league-to-league comparisons will be possible, and the differences will likely shrink from billions to millions.
Global Stars: The Most Innovative Countries, Ranked by Income Group
From Switzerland and China to Vietnam and Tanzania — here are the world’s most innovative countries, taking income per capita into account.
The Most Innovative Countries, Ranked by Income Group
Innovation can be instrumental to the success of economies, at macro and micro scales. While investment provides powerful fuel for innovation—the relationship isn’t always straightforward.
The 2020 ranking from the World Intellectual Property Organization (WIPO) reveals just that.
The above map breaks down the most innovative countries in each World Bank income group, based on data from WIPO’s Global Innovation Index (GII), which evaluates nations across 80 innovation indicators like research and development (R&D), venture capital, and high-tech production.
While wealthier nations continue to lead global innovation, the GII also shows that middle-income countries—particularly in Asia—are making impressive strides.
The economic and regulatory spheres within countries can have an enormous impact on their level of innovation—and vice versa, as innovation in turn becomes an economic driver, stimulating further investment.
The positive feedback loop between investment and innovation results in the success of some of the top countries in the table below, which shows the three most innovative countries in each income group.
|Income Group||Group Rank||Country (Overall Rank)|
|High||1||🇨🇭 Switzerland (#1)|
|High||2||🇸🇪 Sweden (#2)|
|High||3||🇺🇸 United States of America (#3)|
|Upper Middle||1||🇨🇳 China (#14)|
|Upper Middle||2||🇲🇾 Malaysia (#33)|
|Upper Middle||3||🇧🇬 Bulgaria (#37)|
|Lower Middle||1||🇻🇳 Vietnam (#42)|
|Lower Middle||2||🇺🇦 Ukraine (#45)|
|Lower Middle||3||🇮🇳 India (#48)|
|Low||1||🇹🇿 Tanzania (#88)|
|Low||2||🇷🇼 Rwanda (#91)|
|Low||3||🇲🇼 Malawi (#111)|
Switzerland, Sweden, and the U.S. are the top three in the high-income group. Considering that Switzerland has the second-highest GDP per capita globally, it is not a surprise leader on this list.
Upper middle-income countries are led by China, Malaysia, and Bulgaria. Note that China far surpasses other nations in the upper-middle-income group ranking, reaching 14th spot overall in 2020. Others in the income group only appear in the overall ranking after 30th place.
Below are several income group leaders, and some of their key areas of output:
- Switzerland: First in Knowledge Creation, second in Global Brand Value
- U.S.: First in Entertainment and Media, Computer Software Spending, Intellectual Property Receipts
- China: First in Patents Registered
- Vietnam: Second in High-Technology Net Exports
- India: First in Information and Communication Technology Services Exports
- Tanzania: 23rd in Printing and Other Media
Shining a Light on Global Innovators
Since 2011, Switzerland has led the world in innovation according to this index, and the top five countries have seen few changes in recent years.
Sweden regained second place in 2019 and the U.S. moved into third—positions they maintain in 2020. The Netherlands entered the top two in 2018 and now sits at fifth.
Here’s how the overall ranking shakes out:
|3||United States of America||60.6||High|
|11||Hong Kong, China||54.2||High|
|34||United Arab Emiratesx||42.4||High|
|42||Viet Nam||37.1||Lower Middle|
|47||Russian Federation||35.6||Upper Middle|
|56||Costa Rica||33.5||Upper Middle|
|57||North Macedonia||33.4||Upper Middle|
|59||Republic of Moldova||33.0||Lower Middle|
|60||South Africa||32.7||Upper Middle|
|67||Iran (Islamic Republic of)||30.9||High|
|74||Bosnia and Herzegovina||29.0||Upper Middle|
|88||United Republic of Tanzania||25.6||Lower I|
|90||Dominican Republic||25.1||Upper Middle|
|92||El Salvador||24.9||Lower Middle|
|98||Trinidad and Tobago||24.1||High|
|100||Cabo Verde||23.9||Lower Middle|
|101||Sri Lanka||23.8||Upper Middle|
|105||Bolivia (Plurinational State of)||22.4||Lower Middle|
|112||Côte d’Ivoire||21.2||Lower Middle|
|113||Lao People’s Democratic Republic||20.7||Lower Middle|
|118||Burkina Faso||20.0||Lower I|
Nordic countries like Sweden, Denmark, and Finland continue their strong showing across innovation factors—like Knowledge Creation, Global Brand Value, Environmental Performance, and Intellectual Property Receipts—leading to their continued presence atop global innovators.
But the nations making the biggest moves in GII ranking are found in Asia.
China, Vietnam, India, and the Philippines have risen the most of all countries, with all four now in the top 50. China broke into the top 15 in 2019 and remains the only middle-income economy in the top 30.
In 2020, South Korea became the second Asian economy to enter the top 10, after Singapore. As the first Asian country to move into the global top five, Singapore joined the leaders in 2018, and now sits at 8th place.
In another first for 2020, India has now broken into the top 50.
Innovation Input & Output: The Overachievers
While annual rankings like these confirm the importance of a robust economy and innovation investment, variations in the relationship between input and output are not uncommon.
The correlation between wealth and innovation isn’t always straightforward, and neither is the connection between innovation input and output.
Below is an overview of the GII inputs and outputs, as well as several of the world’s overall leaders in each pillar.
Input variables can be characterized as factors that foster innovation—everything from the quality of a country’s university institutions to its levels of ecological sustainability.
|Input Pillars||Input Examples||Input Leaders|
Human Capital & Research
Venture Capital Deals
7. Hong Kong, China
10. South Korea
Output factors include innovation indicators like the creation of new businesses, and even the number of Wikipedia edits made per million people.
|Output Pillars||Output Types||Output Leaders|
|Knowledge & Technology|
Creative goods and services
National feature films
Entertainment and media
3. United Kingdom
10. South Korea
Countries with impressive innovation outputs compared to input levels include:
- China: 26th in inputs, but sixth in overall innovation outputs
- Netherlands: 11th in innovation input, but fourth across outputs
- Thailand: 48th in overall input, first in business R&D
- Malaysia: 34th in overall input, first in high-tech net exports
Innovation Fuel Reductions Up Ahead?
Although financial markets have ignited, the economy as a whole has not fared well since lockdowns began. This begs the question of whether a steep decline in innovation capital will follow.
In response to the 2020 pandemic, will spending on R&D echo the 2009 recession and aftermath of 9/11? Will venture capital flows continue to decline more than they have since 2018?
Because innovation is so entwined with the economic growth strategies of companies and nations alike, the WIPO notes that the potential decline may not be as severe as historical trends might suggest.
No Stopping Human Innovation
Thankfully, innovation opportunities are not solely contingent on the level of capital infused during any given year. Instead, the cumulative results of continuous innovation stimuli may be enough to maintain growth, while strategic cash reserves are put to use.
What the GII ranking shows is that inputs don’t always equal outputs—and that innovative strides can be made with even modest levels of capital flow.
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