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Enabling Digital Finance ++
Copyrights © Grow VC Group 20181
CRYPTO INVESTMENT ECOSYSTEM WITH DATA AND AI
Crypto Funding Summit, Los Angeles, January 24, 2018
Jouko Ahvenainen
You can take photos, share
them and write down
notes, but
this presentation will also
be available on Slideshare
(growvc) and the Grow VC
Group’s Blog at
growvc.com/blog
Download Material
FinTech, Data &
Finance Services
Digital Infra &
Consulting
Exits
Grow VC Group
Worldwide pioneer and leading holding company
in enabling technology and data in FinTech
Hong Kong - London - New York - San Francisco
Crowdfunding
Grow VC Group
Global leader in enabling technology and data for FinTech
■ Started its operations in 2009 as the pioneer to start digital finance service
■ Grow VC Group was the first in the world to launch an online startup equity investing service
■ The group includes over 10 businesses
■ Grow VC Group companies have more than 100 customers with millions of end users globally having launched
new digital finance services
■ The main hubs are in London, New York, San Francisco and Hong Kong
■ Several of its companies are leaders in their own areas, e.g. Difitek, Prifina, RE Bearing, Token Index Fund and
Grow Advisors
People
■ Grow VC Group’s management and founders have been listed as top influencers in the world in digital finance,
Fintech, crowdfunding and digital business
■ Our key people are serial entrepreneurs who have experience to launch several new companies and products
around the world to consumer and business market
■ Our people have been in executive roles to launch international corporates’ products to new markets and build data
analytical approach for go-to-market and sale
Grow VC Group Works with Industry Leaders
5
Rule #1
It is easy to print money, but
the real test is, whether you can
pay for something with it
Rule #2
Bank’s operations, legacy IT
systems and business models are
most probably obsolete, but
traditional finance industry money,
assets and instruments still have
value
Rule #3
Technology enables disruption,
but
new business models implement it
Rule #4
1849 gold rush made only few gold
miners rich, but
it was mainly shovel sellers and
service providers that made a
fortune
Distrubuted Models Change Finance and Internet
Tokenomics, Tokenization And Distributed Models
1. Tokenomics
■ Economical and financial models that use distributed finance and
tokenization as the basis of the economy
■ The full impact is much more than only use of tokens, it is to distribute
power, ownerships and transactions around network from central hubs
2. Tokenization
■ The process of converting the rights of an asset or a service into a digital
token typically on a distributed ledger such as blockchain
■ Almost anything tradeable can be a token; not only a startup with
whitepaper, but all utility and security tokens for private companies, real
estate, infrastructure, or commodites
3. Distributed Models
■ Refers to many new solutions in the Internet that are enabled by
distributed ledger type data and transaction models, as well as with
service components and open APIs
■ The end of big ‘black box’ banks and Internet giants, when finance
transactions, ‘wallets’, data control is distributed, and will have impact
even on big centralized services like Google, Amazon and Facebook
Blockchain Is Not Final
1. Proof-of-work (POW)
• If two blocks are added simultaneously, then it is basically a competition to see who can perform the
calculation tasks faster and add more to the chain, because the longer fork wins. The reward for adding
a block is to receive some tokens (e.g. Bitcoins).
2. Leader-based system
• This requires someone (or several people, either in a hierarchy or taking turns) is the leader and all
transactions are sent to them for their approval.
3. Proof-of-stake (POS)
• Each party basically votes with their own money (tokens) which would be the consensus of the
transaction. If you are on the winner’s side you win money, otherwise you lose.
4. Voting-based system
• There are several ways to create voting models – for example, you could have equal voting rights or
allow a leader to have more votes.
5. Hashgraph
• This is quite a new solution – it’s a modified voting model, but the voting is based on information stored
in the network.
This Means Opportunities
1. Real time data, data analytics and AI can be used to evaluate and value digital securities
and underlining assets
■ Data is becoming really powerful in finance, fintech and distributed models, but of course a slide show or
a fancy data are not enough to value an asset
2. ICOs, TAOs, digital securities and smart contracts for many others and easier asset
classes help bring more investors and money
■ For example loans, real estate and later phase company equity
■ Practically, all assets in the world can go to digital securities and smart contracts
3. Needed components, like KYC, data and syndication, can be based on new distributed
technology solutions
■ These needs don’t necessary mean to use old centralized ecosystem solutions
4. It is important to have clear roles and responsibilities in the ecosystem
■ It is always complex if a party issues a security based on its own asset on its own market place based on
its own valuation model
CASE 1:
Difitek back office for crypto offering and markets
Smart Contracts
and Connective
Apps
AI & Analytics
enabled digital
finance
processes
Case 2: Prifina
Empower consumers own and use their finance data
Read More at my Columns and Blogs
Jouko Ahvenainen – jouko@growvc.com
+44 7889 833 165 (UK), +1 646 363 6664 (US)
Twitter: @jahven, LinkedIn: joukoahvenainen
Grow VC Group - growvc.com
ENABLING
DIGITAL
FINANCE
17

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Grow VC Group presentation at Crypto Funding Summit in Los Angeles

  • 1. Grow VC Group ++ www.growvc.com ++ @growvc ++ Enabling Digital Finance ++ Copyrights © Grow VC Group 20181 CRYPTO INVESTMENT ECOSYSTEM WITH DATA AND AI Crypto Funding Summit, Los Angeles, January 24, 2018 Jouko Ahvenainen
  • 2. You can take photos, share them and write down notes, but this presentation will also be available on Slideshare (growvc) and the Grow VC Group’s Blog at growvc.com/blog Download Material
  • 3. FinTech, Data & Finance Services Digital Infra & Consulting Exits Grow VC Group Worldwide pioneer and leading holding company in enabling technology and data in FinTech Hong Kong - London - New York - San Francisco Crowdfunding
  • 4. Grow VC Group Global leader in enabling technology and data for FinTech ■ Started its operations in 2009 as the pioneer to start digital finance service ■ Grow VC Group was the first in the world to launch an online startup equity investing service ■ The group includes over 10 businesses ■ Grow VC Group companies have more than 100 customers with millions of end users globally having launched new digital finance services ■ The main hubs are in London, New York, San Francisco and Hong Kong ■ Several of its companies are leaders in their own areas, e.g. Difitek, Prifina, RE Bearing, Token Index Fund and Grow Advisors People ■ Grow VC Group’s management and founders have been listed as top influencers in the world in digital finance, Fintech, crowdfunding and digital business ■ Our key people are serial entrepreneurs who have experience to launch several new companies and products around the world to consumer and business market ■ Our people have been in executive roles to launch international corporates’ products to new markets and build data analytical approach for go-to-market and sale
  • 5. Grow VC Group Works with Industry Leaders 5
  • 6. Rule #1 It is easy to print money, but the real test is, whether you can pay for something with it
  • 7. Rule #2 Bank’s operations, legacy IT systems and business models are most probably obsolete, but traditional finance industry money, assets and instruments still have value
  • 8. Rule #3 Technology enables disruption, but new business models implement it
  • 9. Rule #4 1849 gold rush made only few gold miners rich, but it was mainly shovel sellers and service providers that made a fortune
  • 10. Distrubuted Models Change Finance and Internet
  • 11. Tokenomics, Tokenization And Distributed Models 1. Tokenomics ■ Economical and financial models that use distributed finance and tokenization as the basis of the economy ■ The full impact is much more than only use of tokens, it is to distribute power, ownerships and transactions around network from central hubs 2. Tokenization ■ The process of converting the rights of an asset or a service into a digital token typically on a distributed ledger such as blockchain ■ Almost anything tradeable can be a token; not only a startup with whitepaper, but all utility and security tokens for private companies, real estate, infrastructure, or commodites 3. Distributed Models ■ Refers to many new solutions in the Internet that are enabled by distributed ledger type data and transaction models, as well as with service components and open APIs ■ The end of big ‘black box’ banks and Internet giants, when finance transactions, ‘wallets’, data control is distributed, and will have impact even on big centralized services like Google, Amazon and Facebook
  • 12. Blockchain Is Not Final 1. Proof-of-work (POW) • If two blocks are added simultaneously, then it is basically a competition to see who can perform the calculation tasks faster and add more to the chain, because the longer fork wins. The reward for adding a block is to receive some tokens (e.g. Bitcoins). 2. Leader-based system • This requires someone (or several people, either in a hierarchy or taking turns) is the leader and all transactions are sent to them for their approval. 3. Proof-of-stake (POS) • Each party basically votes with their own money (tokens) which would be the consensus of the transaction. If you are on the winner’s side you win money, otherwise you lose. 4. Voting-based system • There are several ways to create voting models – for example, you could have equal voting rights or allow a leader to have more votes. 5. Hashgraph • This is quite a new solution – it’s a modified voting model, but the voting is based on information stored in the network.
  • 13. This Means Opportunities 1. Real time data, data analytics and AI can be used to evaluate and value digital securities and underlining assets ■ Data is becoming really powerful in finance, fintech and distributed models, but of course a slide show or a fancy data are not enough to value an asset 2. ICOs, TAOs, digital securities and smart contracts for many others and easier asset classes help bring more investors and money ■ For example loans, real estate and later phase company equity ■ Practically, all assets in the world can go to digital securities and smart contracts 3. Needed components, like KYC, data and syndication, can be based on new distributed technology solutions ■ These needs don’t necessary mean to use old centralized ecosystem solutions 4. It is important to have clear roles and responsibilities in the ecosystem ■ It is always complex if a party issues a security based on its own asset on its own market place based on its own valuation model
  • 14. CASE 1: Difitek back office for crypto offering and markets Smart Contracts and Connective Apps AI & Analytics enabled digital finance processes
  • 15. Case 2: Prifina Empower consumers own and use their finance data
  • 16. Read More at my Columns and Blogs
  • 17. Jouko Ahvenainen – jouko@growvc.com +44 7889 833 165 (UK), +1 646 363 6664 (US) Twitter: @jahven, LinkedIn: joukoahvenainen Grow VC Group - growvc.com ENABLING DIGITAL FINANCE 17