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Assessing Critical Success
Factors
What governments and corporations need to do to
ensure blockchain technology is a success and
realise its potential
Agenda
1. What is ‘success’?
2. What is the potential?
3. What can enterprise do?
4. What can govts. do?
What is success?
• A more equitable web
• Where users interests aligned with the network
• One that is open and inclusive
• One that is privacy respecting
Existential Threat
B A I D U
A L I B A B A
T E N C E N T
F A C E B O O K
A M A Z O N
A P P L E
N E T F L I X
G O O G L E
Data monopolies, become AI monopolies
360 of economic activity
Bots as next Web interface
Autonomous Systems (smart home,
energy grid, vehicles)
Adaptive Manufacturing (edge
production & responsive design)
Increasing reliance on IBM Watson,
Google, Uber etc
HEALTH
MOBILITY
EGOVT
INDUSTRY FINTECH
Convergence
Economy
Enterprise*
- Relevancy in
Web 3
- New biz lines
- Means to
confidently
engage with
‘start-ups’
Govts
Efficiencies
Less lock-in
More
competition
&
innovation
- Tax revenue
- Employment
- Data privacy
- Sustainable
economic growth
Trade offs? Less state?Disruption?
What is the potential?
Web 3 Stack
Web 2 Antidote
Distributed Ledger Technology
Digitally Scarce Assets
Smart Contracts
Autonomous Economic Agents
Coordinate Mass Decentralisation of
Networks Web
Incentivise
distributed
networks to
contribute
resources to.. AI
compute power,
data, curation,
training, code
Creating codified universal standards
like HTTP, SMTP or GPS for Web 3
(IdentitySovrinFoundation)
Evolutionary
Less Fragile
Cant be bought
Cant be killed
Socio-economic
experiment
Shift from proprietary
startups to digital
economies
Hardcode game theory:
change the game
Incentivise / disincentivise
behaviors
Align stakeholders to
optimise system
Go beyond ledgers (as an accounting
tool) to economic systems (as digital
marketplaces)
Enterprise
Physical infrastructure / hardware /
integration / UX
Usability
DLT is not developer ready let alone end user
Need entirely new infrastructure (samsung)
Enterprise software / services companies are
making usable and interoperable (BaaS)
Which will accelerate adoption
Introducing pragmatism over early dogmatism
Enterprise
● Focus on hard work of process & integration
● Use data to focus on services / specialised
intelligence (AEAs)
● Reduce closed dependencies & open up data
● Stop patent blocking / contribute code
● Join foundations / create consortia
● Invest strategically into tokenised infrastructure /
commodities as wholesalers
Governments
Integration / harmonisation /competition
Larger states
Japan & S Korea
(integrating)
China (capital controls)
India (cashless economy)
US (restrictive / protective
investor accreditation)
Smaller states
Malta, Singapore, Zug,
Estonia, Gibralter
Low tax / liberal investor
Libertarian e-citizenship
AI personhood (Saudi)
Competitive
Environment
France G20 / EU wide Frameworks
UK Crypto Asset Taskforce
/ post Brexit industrial policy
US VC safe-harbor lobbying
Governments
● Regulatory sandboxes / safe-harbours for crypto
assets
● Tax incentives for profits derived from open sourcing
of technology
● Reduce closed proprietary AI dependencies
● Extend self sovereignty & open data initiatives
● Regulate out platform monopolies
● Embrace and integrate new digital economies or be
excluded
Patents
IBM or The People’s Bank or Chinese State no 1?!
Note : Data Sourced from Google’s Patent Search Engine.
Holistic Approach
Convergence Thesis
● Data Collection
● Authenticate,
validate & Secure
● Transport
● Marketplaces
● Process, Analyse &
Automate
www.outlierventures.io/research
Divider
@jamie247
www.outlierventures.io
@OVioHQ
Appendix
CVC Activity
Because ultimately
these are marketplaces
creating economic
systems
Integrating into existing
financial systems for
compliance to bring
online regulated
acitivies
Readying for
institutional money
(e.g. custody)
$1.8 billion raised
POCs
POCs verticals
expanding but largely
Hardware to secure
networks (Samsung /
mining)
Consumer Dapps
(wrong) also
gamifaction e.g.
Kodak / Atari
Govt Innovation
Govts. are slowly integrating
blockchains into public
services.
Dubai champion 2020 vision
around smart city initiative
Petitions & voting (Brazil),
land registries (Russia &
India), fiat pegged crypto
(Singapore)
*Note : Data highly qualitative in nature. Graphs indicate histograms for scores allocated across 50 nations
centralignoring
Permissive
Undecided
Hostile
Unknown
Regulatory Index
In order to better understand
the nature of regulations
around the world, we rated
nations on a scale of 1 to 5 for
their approach to tokens, ICOs
and blockchain innovation for
50 nations. The map
represents the average of the
scores allocated across the 3
parameters.
Global Regulatory Map
● On a scale of 1 to 5, 1 would represent
hostility, 3 would represent considerations /
warnings and 5 would mean national
endorsement of the project.
● Most regions stand on the sidelines when it
comes to regulating Bitcoin. Regions that
considered Bitcoins as a legal form of
payment often required high AML and KYC
requirements.
● A handful of nations have placed complete
bans on tokens as a payment method.
● The Reserve Bank of India has requested
banking infrastructure in the region to avoid
working with token exchanges.
Bitcoin regulation is on the rise
*Note : Data highly qualitative in nature. Graphs indicate histograms for scores allocated across 50 nations
restrictive integrated
ICOs
China / Russia ban
US – all securities /
subpeonas
*Note : Data highly qualitative in nature. Graphs indicate histograms for scores allocated across 50 nations
permissivehostile
Web’s new biz model
Open source, tokenised, fractionalised
& liquid … crowdfunding 2.0
For universal open public utilities
Creating codified standards like HTTP,
SMTP or GPS… both universal or to
scalespecificdeeptech
(IdentitySovrin)

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The Convergence Economy: Crypto Assets + Blockchain + IoT + AI

  • 1. Assessing Critical Success Factors What governments and corporations need to do to ensure blockchain technology is a success and realise its potential
  • 2. Agenda 1. What is ‘success’? 2. What is the potential? 3. What can enterprise do? 4. What can govts. do?
  • 3. What is success? • A more equitable web • Where users interests aligned with the network • One that is open and inclusive • One that is privacy respecting
  • 4.
  • 5. Existential Threat B A I D U A L I B A B A T E N C E N T F A C E B O O K A M A Z O N A P P L E N E T F L I X G O O G L E Data monopolies, become AI monopolies
  • 6. 360 of economic activity Bots as next Web interface Autonomous Systems (smart home, energy grid, vehicles) Adaptive Manufacturing (edge production & responsive design) Increasing reliance on IBM Watson, Google, Uber etc HEALTH MOBILITY EGOVT INDUSTRY FINTECH Convergence Economy
  • 7. Enterprise* - Relevancy in Web 3 - New biz lines - Means to confidently engage with ‘start-ups’ Govts Efficiencies Less lock-in More competition & innovation - Tax revenue - Employment - Data privacy - Sustainable economic growth Trade offs? Less state?Disruption?
  • 8. What is the potential?
  • 9. Web 3 Stack Web 2 Antidote Distributed Ledger Technology Digitally Scarce Assets Smart Contracts Autonomous Economic Agents
  • 11. Incentivise distributed networks to contribute resources to.. AI compute power, data, curation, training, code
  • 12. Creating codified universal standards like HTTP, SMTP or GPS for Web 3 (IdentitySovrinFoundation)
  • 13. Evolutionary Less Fragile Cant be bought Cant be killed
  • 14. Socio-economic experiment Shift from proprietary startups to digital economies Hardcode game theory: change the game Incentivise / disincentivise behaviors Align stakeholders to optimise system
  • 15. Go beyond ledgers (as an accounting tool) to economic systems (as digital marketplaces)
  • 16. Enterprise Physical infrastructure / hardware / integration / UX
  • 17. Usability DLT is not developer ready let alone end user Need entirely new infrastructure (samsung) Enterprise software / services companies are making usable and interoperable (BaaS) Which will accelerate adoption Introducing pragmatism over early dogmatism
  • 18. Enterprise ● Focus on hard work of process & integration ● Use data to focus on services / specialised intelligence (AEAs) ● Reduce closed dependencies & open up data ● Stop patent blocking / contribute code ● Join foundations / create consortia ● Invest strategically into tokenised infrastructure / commodities as wholesalers
  • 20. Larger states Japan & S Korea (integrating) China (capital controls) India (cashless economy) US (restrictive / protective investor accreditation) Smaller states Malta, Singapore, Zug, Estonia, Gibralter Low tax / liberal investor Libertarian e-citizenship AI personhood (Saudi)
  • 21. Competitive Environment France G20 / EU wide Frameworks UK Crypto Asset Taskforce / post Brexit industrial policy US VC safe-harbor lobbying
  • 22. Governments ● Regulatory sandboxes / safe-harbours for crypto assets ● Tax incentives for profits derived from open sourcing of technology ● Reduce closed proprietary AI dependencies ● Extend self sovereignty & open data initiatives ● Regulate out platform monopolies ● Embrace and integrate new digital economies or be excluded
  • 23. Patents IBM or The People’s Bank or Chinese State no 1?! Note : Data Sourced from Google’s Patent Search Engine.
  • 24. Holistic Approach Convergence Thesis ● Data Collection ● Authenticate, validate & Secure ● Transport ● Marketplaces ● Process, Analyse & Automate www.outlierventures.io/research
  • 27. CVC Activity Because ultimately these are marketplaces creating economic systems Integrating into existing financial systems for compliance to bring online regulated acitivies Readying for institutional money (e.g. custody) $1.8 billion raised
  • 28. POCs POCs verticals expanding but largely Hardware to secure networks (Samsung / mining) Consumer Dapps (wrong) also gamifaction e.g. Kodak / Atari
  • 29. Govt Innovation Govts. are slowly integrating blockchains into public services. Dubai champion 2020 vision around smart city initiative Petitions & voting (Brazil), land registries (Russia & India), fiat pegged crypto (Singapore) *Note : Data highly qualitative in nature. Graphs indicate histograms for scores allocated across 50 nations centralignoring
  • 30. Permissive Undecided Hostile Unknown Regulatory Index In order to better understand the nature of regulations around the world, we rated nations on a scale of 1 to 5 for their approach to tokens, ICOs and blockchain innovation for 50 nations. The map represents the average of the scores allocated across the 3 parameters. Global Regulatory Map
  • 31. ● On a scale of 1 to 5, 1 would represent hostility, 3 would represent considerations / warnings and 5 would mean national endorsement of the project. ● Most regions stand on the sidelines when it comes to regulating Bitcoin. Regions that considered Bitcoins as a legal form of payment often required high AML and KYC requirements. ● A handful of nations have placed complete bans on tokens as a payment method. ● The Reserve Bank of India has requested banking infrastructure in the region to avoid working with token exchanges. Bitcoin regulation is on the rise *Note : Data highly qualitative in nature. Graphs indicate histograms for scores allocated across 50 nations restrictive integrated
  • 32. ICOs China / Russia ban US – all securities / subpeonas *Note : Data highly qualitative in nature. Graphs indicate histograms for scores allocated across 50 nations permissivehostile
  • 33. Web’s new biz model Open source, tokenised, fractionalised & liquid … crowdfunding 2.0 For universal open public utilities
  • 34. Creating codified standards like HTTP, SMTP or GPS… both universal or to scalespecificdeeptech (IdentitySovrin)