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The concept of trans-intelligence is innovated as transdisciplinary and transempirical, transformative and translational, transcendent and transcendental, transmaterial and transmental, being beyond Matter and Energy, Data and Information, Learning and Knowledge:

Matter > Energy > Data > Information > Knowledge > Intelligence (natural, human, individual and collective, machine, centralized and distributed) > Trans-Intelligence

The Trans-Intelligence Science, Engineering and Technology is to revolutionize the human world creating man-machine collective intelligence systems, as “big?human-machine superminds ” when human and machine capabilities are working together to solve the great challenges of our time [Big Mind:?How Collective Intelligence Can Change Our World ].

This implies the emergence of hybrid collective superintelligence of individuals and societies, socio-economic organizations and political institutions, as personal and legal entities, startups and multinationals, institutes and universities, communities and cities, NGOs or parliaments, national governments and transnational agencies.

Trans-Intelligence: Collective Intelligence/Wisdom + Individual Genius + AI

Collective intelligence or group intelligence or symbiotic intelligence or collective wisdom is a universally distributed shared intelligence that emerges from the collaboration, collective efforts, and competition of many individuals and appears in consensus decision making", with collective IQ as its measure.

It could be attributed to bacteria, animals, humans and machines.

With us, it emerges as a meta-intelligence from the synergies of data-information-knowledge; software-hardware; individuals.?

The Millennium Project ?advanced the concept of the?Global Futures Collective Intelligence System?(GFIS) describing collective intelligence as the synergistic intersection among data/information/knowledge, software/hardware, and expertise/insights that has a recursive learning process for better decision-making than the individual players alone.

Still, the leading role belongs to individual general intelligence; for collective intelligence is either the aggregation or average of the individual IQs or the control and command of the group leader or at best the influence of the group member with the highest IQ.

Still, virtually all human achievements, from the discovery of fire to inventing true machine intelligence, have been finally made by lone individuals, their unique brains and minds, not by groups of people.

There is a realistic prospect of engineering a symbiotic human-machine superintelligence by means of inherent API, as brain–computer interface (BCI), neural control interface (NCI), mind–machine interface (MMI), direct neural interface (DNI), or brain–machine interface (BMI), plugging an enhanced wired brain into the cyberspace of networked Trans-AI.

The g factor variable defining individual general intelligence (an individual's IQ) could be extrapolated as the c factor variable of collective intelligence (Group-IQ). The both variables are summarizing the general ability of performing a wide range of different tasks supposing that performance on one task is comparable with performance on other similar tasks.

Maximizing collective intelligence relies on the ability of an organization to embrace the Trans-AI's World Model Learning, Inference, Intelligence and Interaction Platform, to view the world as a whole and in all its key features and special details.

It needs proper modifications of the world (natural, social or digital) - agents (trans-AI models + human intelligence) interactions framework:

the environment - trans-AI agents + human societies (personal and legal entities, startups and multinationals, institutes and universities, communities and cities, NGOs or parliaments, national governments and transnational agencies).

Thus, we could compute the Group IQ scores for the collective wisdom/intelligence/intellect of various scales and levels:

global intelligence/wisdom or world brain (Global TransAI Platform )

trans-national intelligence (the UN, WEF, WHO, the EU)

national Intelligence

urban intelligence

community intelligence

business intelligence

corporate intelligence

social media intelligence

military intelligence

government intelligence

environmental intelligence...

Corporate Intelligence: multinationals IQ

All existing?multinational corporations. transnational enterprises, or stateless corporations ?could be assessed in the context of corporate intelligence, its individual intelligence and talent, business ethics and social responsibility,

brand value, innovativeness and creativity,

R & D budget,

innovative products and services,

competitive and business intelligence,

strategic and tactical intelligence,

business and market research,

ESG principles and sustainable future projects,

technological and digital intelligence.

The corporate [collective man-machine] intelligence will consist in embracing trans-AI technologies in their future smart world building global business activities.

The corporate intelligence is not associated with the market capitalization of corporations, but largely with its intangible assets,

Trans-AI business strategy,

Trans-AI software, data and algorithms

Smart World projects,

Smart business franchises,

Goodwill, reputation, smart brand equity,

Intellectual properties (Trade Secrets, Patents, Trademark and Copyrights),

Licensing and Rights,

R&D,

Customer lists

What the AI future holds for multinationals

As an example, trillion-dollar big tech multinationals, as Apple or Amazon or Alphabet, due to the lack of corporate intelligence and inventiveness, receive criticism regarding oligopoly and labor practices, environmental practices and business ethics, including?anti-competitive practices?and materials sourcing.

Or, Google LLC, an American multinational, having a weak corporate intelligence, has often been confusedly considered "the most powerful company in the world"?and as one of the world's?most valuable brands ?due to its web ads market dominance, personal data collection, and a huge hyping of AI, an unsustainable version of machine learning.

Most of the multinationals listed below rely on depreciated tangible assets (?“property, plant, and equipment”) and amortized intangible assets, identifiable or unidentifiable, calculated as the following formula:

Intangible Assets Value = Market Value of Business - Net Tangible Assets Value

Thus, they have a low-level corporate and individual intelligence to be compensated by acquiring intangible assets from another entity.

This tricks will hardly work out with emerging intelligent digital technologies, led by Trans-AI Technology, as Hyperintelligent Hyperautomation.

The future of multinational corporations (MNCs) is commonly to be shaped by a number of factors:?resources, technological advances, geopolitical situations, consumer behaviour, regulatory environment, access to cheap labor and low production costs, international markets and special tariffs.

The critical factors of future global MNCs will be AI talent pool, smart robotics and hyperintelligent hyperautomation or trans-AI technology.

If no future AI business strategy, no corporate future at all. As simple as that.

Conclusion

Humanity needs a radically new scientific and engineering paradigm of AI, AGI, and ASI, as a real and true, transdisciplinary, transformative, and translational, scientific and non-anthropomorphic, sustainable and green, autonomous and interactive, augmenting and complementary man-machine hyperintelligence and learning.

This enables the emergency of hybrid man-machine collective hyperintelligence of socio-economic organizations and political institutions, as corporations and cities, NGOs or parliaments, national governments and transnational agencies.

Universal Artificial Intelligence, and how much might cost Real AI Model

EIS Encyclopedic Intelligent Systems developed the first real model of the Trans- AI Platform.

It is inspirited with its fundamental world model, with the following elements of the Trans-Intelligence Platform, named I-World:

Machine World Learning, Inference and Interaction Model;

World's Master Algorithm;

World Data Framework World Data;

Global Knowledge Base World.Net

Domain Knowledge Base Domain.Net

EIS is after the first working prototype of Trans-Intelligence Platform, to become the creator of the truly disruptive and sustainable innovation of Human-Machine Hyperintelligence.

SUPPLEMENT. A listing of multinational corporations

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class>Avianca class>AXA class>Axiata Group class>Axis Bank Ltd class>BP class>Baker Hughes class>Ball Corporation class>Bacardi class>Banco Bilbao Vizcaya Argentaria class>Banco Santander class>Bandai Namco Entertainment class>Bank of India class>Bank of Ireland class>Bank of Montreal class>Barclays class>Barilla class>Barnes & Noble class>Barrick Gold Corporation class>BASF class>Bata class>Baidu class>Bayer class>Becton Dickinson class>Beko class>Bertelsmann class>Benetton Group class>Best Buy class>Bharti Airtel class>Bharti Enterprises class>Bihl class>Billabong class>Black & Decker class>BlackRock class>BMW class>BBK Electronics class>BBC class>BNP Paribas class>Bose Corporation class>Boeing class>Bombardier Inc. class>Books-A-Million class>Bouygues class>BRAC class>Brown–Forman class>Bridgestone class>British Airways class>British Petroleum class>Burberry class>BT Group class>ByteDance class>BYD class>Capcom class>Canon Inc class>Capgemini class>Casio class>Capital One class>Cargill class>Cargolux class>Caribbean Airlines class>Carlsberg Group class>Carrefour class>Caterpillar Inc. class>Celestica class>Celkon Mobiles class>Cencosud class>Chupa Chups class>China Mobile class>Changhong class>Chanel class>Chiquita Brands International class>Chevron class>China Merchants Bank class>China Resources class>Chubb class>CIMC class>Cisco Systems class>Citigroup class>Coolpad class>The Coca-Cola Company class>The Coffee Bean & Tea Leaf class>Cognizant Technology Solutions class>Colgate-Palmolive Company class>Comac class>Concentrix class>ConocoPhillips class>Copa class>Costco class>Coty inc class>Creative Labs class>Crédit Agricole class>Crocs class>Credit Suisse class>Cummins class>Currys plc class>Cyient class>CyrusOne class>D-Link class>Dabur class>Daikin class>Daimler AG class>Dangote Group class>Daihatsu class>Danone class>Dalton Maag class>Darden Studio class>Decathlon class>Deepin class>Dell Technologies class>Deloitte class>Delta Air Lines class>Deutsche Bank class>Deutsche Post class>Diageo class>Dior class>Dine Brands Global class>Dixons Carphone class>Dow Inc class>Dollar Tree class>DocuSign class>Dole Food Company class>Domino's Pizza class>Dude Perfect class>DuPont class>DXC Technology class>Dyson class>eBay class>Electronic Arts class>Embraer class>Emerson Electric class>Emigre class>Eni class>Ericsson class>Estée Lauder Companies class>Etisalat class>Eva Air class>Evergreen Marine class>Evercore class>ExxonMobil class>Ezaki Glico class>EY class>Faber-Castell class>Fairphone class>Fast Retailing class>FBT class>FedEx Corporation class>Ferrari class>Ferrero class>Fila class>Ficosa class>FIS class>Font Bureau class>FontShop class>Ford Motor Company class>Fortinet class>Fossil Group class>Foxconn class>FPT Group class>Fujifilm class>Fujitsu class>Fujiya class>Future Group class>GameStop class>Gap Inc. class>Garmin class>Gartner class>Gazprom class>Geeknet class>General Electric class>Goldman Sachs class>Gree Electric 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class>Intracom class>IKEA class>Illinois Tool Works class>Infosys class>ING Group class>Ingersoll Rand class>Intel Corporation class>Intesa Sanpaolo class>Isuzu class>Jelly Belly class>The J.M. Smucker Company class>Jardine Matheson class>JG Summit Holdings class>Johnnie Walker class>Johnson & Johnson class>Jollibee Foods Corporation class>JPMorgan Chase & Co. class>JVCKenwood class>JXD class>KBC Bank class>Kawasaki class>Kappa class>Kellogg's class>Kering class>Kikkoman class>Kirin Company class>Kimberly-Clark class>Kingston Technology class>Klim Type Foundry class>Komatsu Limited class>Konami class>Korg class>Keumyoung Group class>KPMG class>Kraft Heinz class>Lactalis class>Lam Research class>Lagardère class>Larsen & Toubro class>LATAM Airlines class>Lazada class>The Lego Group class>Levi Strauss & Co. class>Lear class>Lindt & Sprüngli class>Lenovo class>LeEco class>Leonardo class>Leoni AG class>Lexmark class>LG Electronics class>Linde class>Linpus class>Lionbridge class>LiuGong class>Lockheed Martin class>L'Oréal class>Lotte Group class>Louisa Coffee class>Lufthansa class>Lukoil class>Lupin class>Luxgen class>Luxottica class>LVMH class>LyondellBasell Industries class>MG Cars class>Macy's class>Mahindra Group class>Mars, Incorporated class>Mastercard class>Maton class>Marshall Amplification class>Mark Simonson Studio class>Maersk class>Mama Sita's Holding Company class>Mamee Double-Decker class>Mattel class>Maxxis class>McCain Foods class>McDonald's class>MediaTek class>Meiji Holdings class>Meitu class>Meizu class>melstacorp class>Mercedes-Benz Group class>Meta Platforms class>Michaels class>Michelin class>Micro-Star International class>Micromax Informatics class>Microsoft class>Mizuno Corporation class>Millipore Corporation class>Miniso class>Mindtree class>Mitsubishi Electric class>Mobil class>Monotype class>Monotype Imaging class>Morinaga & Company class>Nando's class>Namco Bandai Holdings class>New Balance class>Newell Brands class>Nestlé class>NEC class>NetApp Inc. class>Netflix class>Nike, Inc. class>Nivea class>Nikon class>Nintendo class>Nissan class>Nokia class>Norsk Hydro class>?(ASA) class>Novartis class>Novo Nordisk class>Olympus Corporation 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class>Samsung class>Samsonite class>Salesforce class>San Miguel Corporation class>Sandvik class>Sanrio class>Sanofi Aventis class>Saudi Aramco class>SAP SE class>SAS Group class>Sasken Communication Technologies Limited class>Sasol class>Schlumberger class>Schwan-Stabilo class>Schneider Electric class>Schindler Group class>Schleich class>Scotiabank class>Scholastic Corporation class>Seiko class>Sennheiser class>Sphero class>Spin Master class>Serta class>Seagate Technology class>Sega Sammy Holdings class>Servcorp class>Severstal class>SF Express class>SGS S.A. class>Shenzhen Airlines class>Shiseido class>Siemens class>Sime Darby Properties class>SilkRoad class>Société Bic class>SmartStudy class>SM Investments Corporation class>Société Générale class>Sogou class>SK Group class>Skullcandy class>Sony class>SoftBank Group class>Southwest Airlines class>Spotify class>Square Enix class>?koda Auto class>Staedtler class>Standard Chartered class>Starbucks class>State Bank of India class>Subway class>Stellantis class>Suntory class>Suzuki class>Swarovski class>Swinkels Family Brewers class>Taco Maker class>Take-Two Interactive class>Tapestry, Inc. class>Target class>Tabasco sauce class>Tate & Lyle class>TCL Technology class>Tata group class>TEAC Corporation class>TechniSat class>Telefonica class>Tencent class>The Home Depot class>The Hershey Company class>The Swatch Group class>Tesco class>Tesla class>Telstra class>Texas Instruments class>TNT Express class>Textron class>Thomson Reuters class>Ting Hsin International Group class>TKK Fried Chicken class>Toshiba class>TomTom class>Tomy class>Total S.A. class>TikTok class>TPG Telecom class>TDK class>TMK class>Toyota class>Trend Micro class>TP-Link class>TSMC class>Typotheque class>Uber class>Ubisoft class>UMC class>*?Unicredit class>Unilever class>United Parcel Service class>Ubisoft class>Unisys class>The Vanguard Group class>Volvo class>Vanke class>Vestas class>Verisk Analytics class>Vertiv class>VF Corporation class>Viettel Mobile class>Victoria's Secret class>Victorinox class>Vimpelcom class>Virgin Group class>Visa Inc. class>Vitol class>Vizio class>Vivendi class>Vinamilk class>Vodafone class>Voith class>Volkswagen Group class>Wendy's class>Want Want class>Wal-Mart class>The Walt Disney Company class>Warner Bros. Discovery class>Wawa class>Whirlpool Corporation class>Wingstop class>Wipro class>Wirecard class>Xiaomi Corporation class>Xtep class>Yili Group class>Yamaha Corporation class>Yandex class>Yokohama Rubber Company class>Yamaha Motor Company class>Yum brands class>Zensar Technologies class>Zhujiang Beer class>ZTE class>Zippo

Trans-Intelligence Platform: theoretics and practice

Azamat Abdoullaev

The best way to forecast the future is to create it

Trans-Intelligence: Collective Intelligence/Wisdom + Individual Genius + AI

Corporate Intelligence: multinationals IQ

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Conclusion

SUPPLEMENT. A listing of multinational corporations

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