Lessons learned, Brookings
EXCEPTIONAL “Full Pack Golden Knowledge Container”
Much of the development of AI is predicated on two pillars: technologies and human capital availability.
- Our prior reports for Brookings, “How different countries view artificial intelligence” and “Analyzing artificial intelligence plans in 34 countries,” detailed how countries are approaching national AI plans, and how to interpret those plans. In a follow-up piece, “Winners and losers in the fulfillment of national artificial intelligence aspirations,” we discussed how different countries were fulfilling their aspirations along technology-oriented and people-oriented dimensions. In our most recent post, “The people dilemma: How human capital is driving or constraining the achievement of national AI strategies,” we discussed the people dimension and so, in this piece, we will examine how each country is prepared to meet their AI objectives in the second pillar—the technology dimension.
ABOUT THE AUTHORS
Gregory S. Dawson
Kevin C. Desouza
James S. Denford
Lessons learned, Brookings
Golden Knowledge (GK) Juice
- Using finely tuned hardware, a specialized network, and large data storage, supercomputers have long been used for computationally intense projects that require large amounts of data processing. With the rise of artificial intelligence and machine learning, there is an increasing demand for these powerful computers and, as a result, processing power is rapidly increasing. As such, the growth of AI is inextricably linked to the growth in processing power of these high-performing devices.
- DEVELOPMENT OF TECHNOLOGY FACTORS
- In order to analyze each country’s technology preparedness, we assembled a country-level dataset containing: the number and size of supercomputers in each country, the amount of public and private spending on AI initiatives in each country, the number of AI startups in each country, and the number of AI patents and conference papers each country’s scholars produced. This resulted in ten distinct data elements.
- As with our previous analyses, we conducted a factor analysis to determine if any of the data elements were closely related. Closely related items can be mathematically combined into a composite factor, which aids in interpretation.
- CONTEXT: The Golden Knowledge Path ("GKPath") digital highway
- Opportunity, Discovering and exploiting the treasure of the digital age
- "genioux facts", the online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) digital highway to discovering and exploiting the treasure of the digital age, accelerating everyone's success in the digital age. g-f(2)254, g-f(2)260, g-f(2)261, g-f(2)251, g-f(2)312, g-f(2)256, g-f(2)257, g-f(2)272, g-f(2)271, g-f(2)270, g-f(2)268, g-f(2)269, g-f(2)289, g-f(2)283, g-f(2)287, g-f(2)313, g-f(2)293, g-f(2)294, g-f(2)296, g-f(2)298
- The inverted mini pyramid of knowledge, g-f(256), is essential to travel on the "GKPath" highway.
- g-f(2)256 The Big Picture of the Digital Age (5/2/2021), geniouxfacts, The fundamental knowledge mini-pyramid for traveling on the "GKPath" highway.
- Key "genioux facts" to travel on the "GKPath" highway.
- g-f(2)261 The Big Picture of the Digital Age (5/5/2021), geniouxfacts, You are unique. Grow without limits in the digital age.
- g-f(2)257 The Big Picture of the Digital Age (5/3/2021), geniouxfacts, At any moment you take the fastest path (GKPath) to your greatness.
- g-f(2)254 The Big Picture of the Digital Age (5/1/2021), geniouxfacts, The Golden Knowledge Path (GKPath) to accelerate everyone's success.
- g-f(2)260 The Big Picture of the Digital Age (5/4/2021), geniouxfacts, Alerts, Warnings and Relevant Lessons Learned Traveling at High Speed on GKPath.
Lessons learned, Brookings
Golden Knowledge (GK) Juice
- U.S. and China
- The race for technology dominance is clearly a two-horse race between the U.S. (94th percentile for technology and research and 96th percentage for investment) and China (94th percentile for technology and research and 91st percentage for investments). While the U.S. holds a very slight lead overall, both countries are in the top three positions for every single one of our data elements. This is not surprising, as the size of the U.S. and Chinese economies (largest and second-largest respectively at $20 trillion and $15 trillion respectively) dwarf Japan, which is the third-largest economy ($4.9 trillion). As a result, we see no technology-centric hindrances for either country to continue to excel.
- United Kingdom, France, Japan, and Germany
- The United Kingdom (75th percentile in technology and research and 88th percentile in investments), France (75th percentile in technology and research and 81st percentile in investments), Japan (87th percentile in technology and research and 75th percentile in investments), and Germany (83rd percentile in technology and research and 68th percentile in investments) form a strong chase pack to the two leaders. Of the four countries, we view the United Kingdom as being in the strongest position to challenge the U.S. and China and this is based on their stronger investments in technology. We feel that these investments will allow them to close the gap more quickly than the other countries are capable of. However, we cannot ignore the fact that Japan’s economy is the largest of the four and this suggests that, if they decide to do so, they can quickly accelerate their efforts.
- TALE OF THE ECONOMIES
- Almost without exception, there is a strong relationship between the country’s economic size and its position in our quadrants. The U.S. is certainly leveraging its status as the world’s largest economy and is making dramatically larger technology investments than almost any other country; China is a close second.
- The uncomfortable reality for the U.S. is that its economic strength is very helpful to make the necessary technology infrastructure investments which are necessary but not sufficient to be successful in the pursuit of AI but this economic strength has little or no bearing on the other necessary element – the ability to attract the necessary people to develop and implement its AI strategy. By contrast, China also has the economic strength for the necessary technology infrastructure investments but also has a sizeable population to provide the people power which is also necessary. In other words, China has both conditions necessary for AI success while the U.S. only has one of them. As such, China is currently in far better shape than the U.S. to achieve its AI goals and, without changes on the people front, the U.S. will fall increasingly far behind.
Some relevant characteristics of this "genioux fact"
- Category 2: The Big Picture of the Digital Age
- [genioux fact deduced or extracted from Brookings]
- This is a “genioux fact fast solution.”
- Tag Opportunities those travelling at high speed on GKPath
- Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
- Type of validity of the "genioux fact".
- Inherited from sources + Supported by the knowledge of one or more experts.
- Authors of the genioux fact
ABOUT THE AUTHORS
PhD with awarded honors in computer science in France
Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a disruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts". The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.
Key “genioux facts”
- Some relevant and recent "genioux facts" from the g-f golden knowledge pyramid to master the big picture of the digital age.
- Opportunities updates (1/13/2022) for those traveling at high speed on GKPath!
- Tag Alerts those traveling at high speed on GKPath
- g-f(2)811 The New World (1/13/2022), Bloomberg, TSMC to Spend at Least $40 Billion to Address Chip Shortages
- g-f(2)810 THE BIG PICTURE OF THE DIGITAL AGE (1/12/2022), Talks at Google, Bruce Hood | How Minds are Constructed
- g-f(2)809 THE NEW WORLD (1/12/2022), geniouxfacts, 10 juices of ultra-condensed GK to keep pace
- g-f(2)808 THE BIG PICTURE OF THE DIGITAL AGE (1/12/2022), MIT SMR + BCG, AI in the Supply Chain: Cold Chain Technologies’ Ranjeet Banerjee
- g-f(2)807 THE NEW WORLD (1/11/2022), HBR, Finding Success Starts with Finding Your Purpose
- g-f(2)806 The New World (1/11/2022), HBR, HBR’s Most-Read Research Articles of 2021
- g-f(2)805 The New World (1/11/2022), msn money, The National, Artificial intelligence to influence top tech trends in major way in next five years
- g-f(2)804 The New World (1/11/2022), MIT SMR, Six Ways Leaders Can Adapt to the Workplace of 2022
- g-f(2)803 The New World (1/10/2022), Bloomberg, Uniting Grand Theft Auto and FarmVille Is a Game Changer
- g-f(2)802 THE NEW WORLD (1/10/2022), WSJ, Microsoft Hit by Defections as Tech Giants Battle for Talent to Build the Metaverse
- g-f(2)801 The New World (1/10/2022), Multiple GK Containers, The Great Resignation
- g-f(2)800 THE BIG PICTURE OF THE DIGITAL AGE (1/9/2022), geniouxfacts, The 10 most read "genioux facts" of the month
- g-f(2)799 THE BIG PICTURE OF THE DIGITAL AGE (1/9/2022), geniouxfacts, The 10 most read "genioux facts" of the week
- g-f(2)798 THE BIG PICTURE OF THE DIGITAL AGE (1/8/2022), yahoo!news, AFP, Metaverse gets touch of reality at CES
- g-f(2)797 THE BIG PICTURE OF THE DIGITAL AGE (1/8/2022), MIT SMR, Management Articles for Starting the New Year
- g-f(2)796 The New World (1/8/2022), CNBC, How A.I. is set to evolve in 2022
- g-f(2)795 The New World (1/7/2022), Media, Investors Buy Up Metaverse Real Estate in Virtual Land Boom | WSJ
- g-f(2)794 THE BIG PICTURE OF THE DIGITAL AGE (1/7/2022), Harvard Business Review, LinkedIn Cofounder Reid Hoffman on Innovating for an Uncertain Future
- g-f(2)793 The New World (1/7/2022), Bloomberg, Bloomberg Billionaires Index: 8 in the Top 10 are from the industry in technology
- g-f(2)792 THE BIG PICTURE OF THE DIGITAL AGE (1/6/2022), msn, Time, Artificial Intelligence Can Now Craft Original Jokes—And That’s No Laughing Matter
- g-f(2)791 THE BIG PICTURE OF THE DIGITAL AGE (1/6/2022), Nasdaq, The Machine Learning Future Is Now: How AI is Disrupting Entire Industries
- A list of relevant "genioux facts" that describe a "Classical CONTEXT" of the Digital Age
- g-f(2)45 "The Big Picture of the Digital Age": Knowledge opens the way to staggering opportunities, risks and challenges
- g-f(2)50 The Big Picture of the Digital Age: Mines of Golden Knowledge Growing Every Day
- g-f(2)74 THE BIG PICTURE OF THE DIGITAL AGE: Rapid change, incertitude and disruption, in a hypercompetitive environment
- g-f(1)28 The pyramid of knowledge of a “genioux fact”: From GOLD FRUITS to GOLD JUICES
- g-f(2)51 The Big Picture of the Digital Age: The Value of Golden Knowledge is Relative
- g-f(2)99 THE BIG PICTURE OF THE DIGITAL AGE, The “genioux facts”: Essential knowledge to unleash your limitless growth.
- g-f(2)75 THE BIG PICTURE OF THE DIGITAL AGE: “Infinite Learners” to keep pace with change, incertitude and disruption, in a hypercompetitive environment
- g-f(2)151 The Big Picture of the Digital Transformation, 3/1/2021, geniouxfacts, How To Succeed At Business Digital Transformation.
- g-f(2)153 The Big Picture of Business Artificial Intelligence (3/3/2021) in a Single “g-f KBP” Chart
- g-f(2)174 THE BIG PICTURE OF THE DIGITAL AGE (3/20/2021), geniouxfacts, Executive guide of golden knowledge to fire up your unlimited growth.
- Showing posts sorted by relevance for query The Big Picture of the Digital Age
- Showing posts sorted by relevance for query Digital transformation.
- Showing posts sorted by relevance for query Artificial Intelligence.
- Showing posts sorted by relevance for query The future of work.
- Showing posts sorted by date for query The Big Picture of Sports.
- Showing posts sorted by relevance for query A new, better world for everyone.