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The land of Big Data and online-scoring
1. The new wave of fintech in Asia:
From social scoring to digital identity
2. Asia became the biggest fintech market
in the world in 2016
01
Investments in fintech annually ($B)
Region distribution of funding (%)
47
38
USA
Asia
Other
8
8
2,5 2,9
4,4
12,3
20,3
23,6
19,1
0,3 0,4
2,2 2,5
1,5
2,9
5,5
6,8
5,8
14,5
6,1
13,0
VC Backed fintech investments
Other fintech investment
+16%
-6%
2011 2012 2013 2014 2015 2016
4,5
Ant Financial
EU
Amount of financing deals (#)
+36% +7%
2015
Q1
Q2
Q3
Q4
Q1
Q2
Q3
Q4
2016
308
366
410
398
442 428
378
343
3. Lending is the most popular destination for investors
03
ng s ta B kinsuranc
Regtech
Lending e-Wallets Big Data Insurance
Crowdfuning /investing
Payments Blockchain For SME Remittance
Investments PFM/PFP
Banking
21
13
13 6
6 5
5
5
4
4
3
8
7
Lendi e-Wallet e an ng
4. 04
But as the most population remains unbanked the challenges
of lending and scoring are critical as never before.
Traditional scoring does not work even in US.
Monopoly of few
organizations:
Still on many markets credit
scoring is a monopoly controlled
by one or few organizations.
Traditional credit bureaus
require borrowers to take
on debt before obtaining
a credit score, leaving millions
of potentially creditworthy
individuals unscorable by
the current credit system.
People stay credit invisible
even in the US. The number
of credit invisible Americans
exceeds 25 million.
To become banked they
are forced to borrow at
highest possible rate –
which makes them even
poorer than before.
Globally, it is much worse.
38% of the world’s population
does not have a bank account.
3 billion people are unable to
obtain a credit card and 91% of
residents in developing nations
experience difficulty receiving
debt financing from traditional
financial institutions.
Credit scoring is siloed
around the world, further
exacerbating these issues.
Credit scoring providers
can not operate globally,
meaning that for a new
market they must rebuild
their credit scores from
scratch. There should be
one uniform regulation
created to cover all the
world.
Invisible
Americans:
Poor people without
bank accounts
stay poor:
Siloed
markets:
5. 05
Companies searching for smarter ways to enable scoring
for unbanked clients in Asia
Ayannah, the leading provider of affordable and accessible digital financial services in Philippines
has partnered with Bayad Center, the bills payment subsidiary of Meralco the Philippines’ largest
electric utility to launch Juan Credit, the first artificial intelligence-powered credit scoring system
for the unbanked in emerging markets.
JuanCredit will analyze unstructured data from various sources – bills payment, mobile tops,
insurance premium payments, social media profiles – to provide meaningful credit scores for
unbanked Filipinos and provide banks, financing companies, insurers and property developers with
a system that will instantaneously and continuously update a borrower’s credit worthiness and
insure sound underwriting.
Banks in Asia are using customers’ smartphone data points, like how often they drain their battery,
to determine whether or not they’re eligible for a loan. While this may sound like an unusual criteria
for qualification, Singapore-based startup Lenddo thinks it can help people without traditional
credit history borrow money. But its program is primarily used by lenders in emerging markets,
such as Asia, Africa and Latin America. Most people in those regions don’t have traditional bank
accounts or credit cards but access to a smartphone is increasingly greate
7. 07
Observing actions of big centralized credit bureaus obviously realize that
the market is changing (especially in Asia), as traditional approaches do not
allow these giants to tackle their new clients’ problems in an efficient way.
Traditional credit scores are but one indicator of overall well-being. But
there are other measurements that also matter to both consumers and
providers. How are people doing managing their daily finances? Do people
use systems and products that make them resilient to unexpected financial c
hallenges? Are people able to achieve major financial objectives — such as
buying a house or retiring comfortably?
Data is the new money. Big data is a connector between all fintech verticals
and other industries. We can (and have to) analyze unstructured data from
various sources – bills payment, mobile calling patterns and locations,
insurance premium payments, social media profiles and check-ins, thousands
of data points, everything from a smartphone user’s messaging and browsing
activity, to the apps and Wi-Fi network we use, – to provide meaningful social
scores for retail customers and SMEs.
G
G
New ways of scoring needed in Asia. What about social scoring?
8. To be Chinese today is to live in a society of distrust. It is China's ambitious plans to develop a far-reaching
social credit system, a plan that the Communist Party hopes will build a culture of «sincerity» and a «harmonious
socialist society» where «keeping trust is glorious».
The ambition is to collect every scrap of information available online about China's companies and citizens
in a single place – and then assign each of them a score based on their political, commercial, social and legal
«credit». The idea is that good behavior will be rewarded and bad behavior punished.
Under government-approved pilot projects, eight private companies (including AlibabaAliPay and Tencent
Baidu) have set up credit databases that compile a wide range of online, financial and legal information.
China approach to scoring: national social scoring system…
G
G
K
08
Benefits for users with high scores:
Rent cars and bicycles without deposits
Avoid long lines at hospitals
Get privileges on dating sites
Punishments for users with low scores:
No first class in planes and no riding
in “soft sleeper” class on trains
Penalties on government subsidies
Restrictions on career progression
or asset ownership
9. 09
For the major part of financial services, it is not enough just to specify your name, surname
and e-mail, in accordance with the legislation, they require a passport and its identification,
as well as other personal information. Or the startup sends its courier and runs its own
compliance service (the cost of verification of each client turns to be from $15 to $30).
At the meetings with representatives of cryptocurrency wallets, cryptocurrency exchanges
and marketplaces, as well as those with whom they want to work (banks that issue cards
and open accounts, regulators that make claims), one can constantly hear the same
questions: Who are these customers?
BAASIS ID, an online only blockchain-based KYC solution with open API, verifies the first and
last name, passport, checks against international blacklists of people involved in money-
laundering, criminal or terrorist activity, verifies the mobile number, bank card, residence
address, profiles in social networks, and also makes and stores a video record.
What is beyond credit scoring? Digital identity
Identity became a new money
Last name
Birthday
Contacts
First name
Check your identity
Mr Ms
Middle name
Continue
Country of Residence
e-mail
Day Month Year
Phone number+650
Phone number+650
People are more than just their credit scores. Identity is the new money –
like «human capital contracts» (or «social financial agreements») – for reputation
economy. «It will be reputation rather than regulation that will animate trust in
economic exchange, and that social graph, the network of our social identities,
will be the nexus of commerce, administration and interaction».
10. 10
New challenge: how to keep personal information safe?
Even big players and governments cannot deal with the problem.
What about digital identities on blockchain?
US, 2017
Credit losses due to identity theft exceed $20 billion each year and these are losses of not banks but of regular people.
Mostly due to human factors, like sending sensitive data in not encrypted e-mail, merging and matching data from
different verification providers manually, etc.
Sweden, 2017 Singapore, 2017
143 million US customers
Equifax
Birth dates, credit card
numbers and more
6 million Swedish citizens
Swedish government
Names, photos, home
addresses, details on every
vehicle in the country
5400 Singaporeans
AXA
Email addresses, mobile
phone numbers, insurance
policy numbers and dates
of birth
11. Blockchain Future: Customers control who they share
digital identities with…
11
Removes the need
to trust third parties. All logs
are stored in the ledger
distributed between multiple
authorised parties.
Secure
Customers directly control to whom they share their personal
information and documents, keeping track of these authorizations
in the distributed ledger using smart contracts
Uses the blockchain
technology to ensure that once
written, information is not
altered or deleted, even by
a system administrators.
Auditable
Uses billing based on
the blockchain records. There
is no need for additional verification.
Counterparties have access
to identical records.
Fair
12. What is next? Evolution from ID to scoring to lending
12
IDENTITY:
KYC / personal ID creates a global secure identity that is AML compliant and
reusable in any other market or with any other financial institution. BAASIS will accumulate
data relevant for future scoring and lending solutions.
SCORING:
With more and more companies (banks, startups) connecting to BAASIS ID
we create our own unique ecosystem and can provide registry and global scoring / metric of
consumers’ creditworthiness.
LENDING:
Will decentralize the credit industry while lowering rates and increasing
security. We are offering a new, compliant way for P2P lending startups to access
new markets.
13. A complete data storage of all the health-related information along with wearables
devices creates a data silo that can be used to provide better care and cut costs
associated with operating a care facility. Including all the data from different care
providers, personal health records, wellness apps makes a comprehensive pool
of information that is greater than a sum of its parts.
All of the information gives an insight on the customer’s history and, current
state analysis and can be used to make a prognosis of conditions. That means
all the raw data analyzed in a proper way can help detect health issues before they
are critical — and make suggestions
AI algorithm to make preliminary diagnosis and predict health conditions before they
happen — based on data provided.
Interface for customers and companies to interact with the data transfer and serves
as a singular data silo for the all-round digital persona. Emergency services can access
data and patient records.
Data researchers are presented with a toolbox to purchase data based on explicit
consent and rewards to data owners. All of this while customers maintain complete
control over their private dat
Big data and digital identities beyond fintech… In every industry.
Healthcare as example of one of the biggest market
Opportunities in health data:
The future:
13
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ARIV.AL
Managing partner at Life.SREDA VC, Singapore-based fintech firm.
One of TOP35 the most influential fintech-investors in the world (by Institutional Investor
magazine), TOP21 fintech influencers in Europe (by Fintech Magazine) and TOP100 fintech
ecosystem builders in Asia (by NextBank and E&Y).
Contributor for Forbes, TheNextWeb, European Financial Review, EFMA journal, VentureBeat,
TechInAsia, e27, LetsTalkPayments, FintechRanking, FintechNews, and other leading media.
Keynote-speaker at Money2020, RiseMoneyConf, European Fintech Awards, Global
Payment Summit, FinSpire, FinnovAsia, Fintech CEO Summit by IFC, Paris Fintech Forum,
Global Venture Summit, Fintech Award LatAm, Dot Finance Africa, The Future Of Finance
Summit, and many other conferences.
Author of «Money Of The Future» annual fintech report.