Artificial intelligence applications are increasingly being used in the financial sector. Chatbots can help reduce costs by automating some customer service tasks, while machine learning algorithms can help make know-your-customer processes more efficient by identifying patterns in transaction data. Artificial intelligence may also allow for more accurate foreign exchange price predictions and personalized robo-advisor services. These applications demonstrate how artificial intelligence is disrupting traditional financial services.

1. ARTIFICIAL
INTELLIGENCE
IN
FINANCIAL
SECTOR
Shantanu Krishna

2. Overview-
Remittance
Industry
Changing
Market
Landscape
UAE
Exchange-
Areas of
Operations
AI
applications
Are you AI
Ready?
CONTENT & FLOW OF PRESENTATION

3. Overview- Remittance Industry

4. REMITTANCE
INDUSTRY
Going through a
Transitionary Phase…
• For the first time in recent history, remittance flows to developing countries
registered a decline for two successive years.
• Remittances declined by an estimated 2.4 percent, to $429 billion, in 2016,
after a decline of 1 percent in 2015.
• Low Oil prices & weak economic growth in Russia & GCC countries –main
reasons of lower remittance flow.
Remittance flow to
developing countries
on a decline in the
last 2 years

5. REMITTANCE
INDUSTRY
Going through a
Transitionary Phase…
Increased Cost of
remittances adding to
the problem
• Structural constraints like De-Risking* raising regulatory burdens on money
transfer operators
• Labor market “Nationalization” policies in the GCC & Anti immigration
sentiments have dampened remittance flows, especially through formal
channels.
• Imposition of Service Tax of 12.36% by Govt. of India, on remitting money
is passed on directly to consumers making it difficult for the businesses to
maintain competitiveness.
*International correspondent banks close the bank accounts of money transfer operators, to avoid the risks of money laundering and financial crime
• Despite this, UAE
has the lowest
remittance fee of
2.5%

6. Changing Market Landscape
Rising remittance costs coupled with rapid technological innovation
has made the market more competitive than ever!
Let’s understand this changing Market Landscape!

7. Social Media
encircling Money
Transfer services!
*Source: World Bank, April 2017
1. Emerging Social Media Platforms for Money Transfer Services
Facebook has currently around 50 different regulatory
licences in the US alone that will allow FB users to
transfer money via their messenger app.
It has become one of the most common tools to transfer
money. Last Chinese New Year, they processed more
than 8 billion red envelope transactions
Alibaba’s firm launched a money market fund that has
become the 3rd biggest money market fund in the world,
dislodging incumbents who have been doing this for
decades.
CHANGING MARKET
LANDSCAPE
Disruptive Innovations in
Financial Services

8. P2P Lending
platforms & Digital
media growth
*Source: World Bank, April 2017
2. Digital becoming mainstream
• Using the existing card infrastructure, creation of new cards based
products ( dual cards) through which migrants families can
withdraw remittances through ATMs
• Proliferation of smartphones that make online transfers more
convenient & cheaper
3. Future Financial platforms will not be traditional banks but will be
technological firms
• Peer to peer lending platforms now offer consumers an
alternative to loans that used to be previously available mainly at
banks
• Robo advisory platforms offer consumers asset management
solutions that are not only more transparent than what they charge
but also substantially cheaper.
CHANGING MARKET
LANDSCAPE
Disruptive Innovations in
Financial Services

9. Rise of
Fintech
*Source: PWC global Fintech Survey, 2016
4. FIN-TECH (Financial Technology) in key sectors
It is the innovative use of technology in the design & delivery of
financial services to replace the old or enhance the usage of these
services in the existing financial companies.
CHANGING MARKET
LANDSCAPE
Disruptive Innovations in
Financial Services

10. Fintech is an umbrella that covers a number of categories of IT
innovations applied in the financial sector, such as:
Financial
Education
Artificial
Intelligence
Peer to Peer
Lending
Block
Chain
Personal
Finance
Tools
Stock
Trading
Apps
Algorithm
based
Trading
Robo
Advisors
Big
Data
Crowd
Funding
CHANGING MARKET
LANDSCAPE
Disruptive Innovations in
Financial Services
Rise of
Fintech
Crypto
Currency

11. Focus on
Artificial Intelligence

12. Artificial
Intelligence
“Machine intelligence is the last
invention that humanity will ever
need to make”
Nick Bostrom
*Source: AI Magazine, Vol. 27, Number 3
AI is a field in computer science that focuses on simulating the intelligence
of humans into artificial machines with the help of sophisticated machine
learning and natural language processing algorithms.
MAJOR BRANCHES OF AI- REPLICATING ABILITY TO THINK, ACT & LEARN

13. Artificial
Intelligence
“Machine intelligence is the last
invention that humanity will ever
need to make”
Nick Bostrom
AI is a field in computer science that focuses on simulating the intelligence
of humans into artificial machines with the help of sophisticated machine
learning and natural language processing algorithms.
1. Machine Learning: Machine learning is the
process of automatically discovering patterns in
data. Once discovered, the pattern can be used
to make predictions. Important algorithms:
1. Regression Based Algorithms
2. ANN ( Artificial Neural Networks)
3. Fuzzy Logics
4. KNN
5. Bayesian Networks
2. Autonomics: Refers to the systems that are
designed to perform routine tasks and
operations performed by humans. They are
programs that ‘observe’ the way a trained user
takes decisions or resolve issues and replicate
the same decision making process in future
events.
MAJOR BRANCHES OF AI

14. Artificial
Intelligence
“Machine intelligence is the last
invention that humanity will ever
need to make”
Nick Bostrom
3. Machine vision: Refers to the ability of
computers to identify objects, scenes and
activities in images. Computer vision technology
uses sequences of image processing operations
that breaks down images to manageable pieces.
E.g. Face recognition softwares used by FB.
4. NLP: Ability of a computer to interpret human
language and take appropriate action. Most well
known application is Siri for the iPhone.
AI is a field in computer science that focuses on simulating the intelligence
of humans into artificial machines with the help of sophisticated machine
learning and natural language processing algorithms.
MAJOR BRANCHES OF AI

15. AI Application

16. Artificial
Intelligence
Avoid AML* Practices by having a more efficient KYC System
*AML stands for Anti Money Laundering Practices
This is done to avoid false positives & false negatives by using AI & ML Algorithms
Reasoning:
the ability to draw
conclusions
Self-correction:
Improving future
outcomes based on
feedback to past reasoning
• Machine Learning: Machine learning provides computers the ability to
learn and change without being explicitly programmed.
• Collaborative Filtering: Capable of finding transactions with missing,
matching and/or odd information.
• Feature Matching: Utilized to identify transactions below a specific
monetary threshold
• Fuzzy Logic: Used to find data matches with slight changes to names or
addresses
Important AI/ML Techniques
Learning:
learning from data on
which a model is
developed & rules are
created
Application
in Money
Transfer Services

17. Avoid AML* Practices by having a more efficient KYC System
*AML stands for Anti Money Laundering Practices
Essential features of AI Solutions & Potential Applications in KYC-AML
Source: Celent
Application
in Money
Transfer Services
Artificial
Intelligence

18. Check the rising cost of Customer Servicing through Chat-Bots!
Bots are simple artificial intelligence systems that you interact with via text.
“Chatbots also have the potential to help businesses significantly cut labor costs.
While complete automation of the customer service workforce is not feasible,
automating customer management and sales positions where possible through
Chatbots and other automation technologies would result in considerable
savings.” (The Chatbot Explainer, BI Intelligence, July 2016)
This could help in better utilization of funds & resources & reduction in the
cost it takes to hire & train new agents in situations of high attrition!
Application
in Money
Transfer Services
Artificial
Intelligence

19. Predicting Foreign Exchange prices for better money management
Application
in Foreign Exchange
Services
This could be important to minimize risks/ adjust costings to maximize returns
Using NLP & Text Mining/Sentiment Analysis techniques, Currency Market
Predictions are possible by analyzing written text sentiments of people on
Twitter & other social platforms.
This could be important to make important business decisions including
anticipating money transfer requests & manpower requirement/ Cost
estimation &
Artificial
Intelligence

20. Robo Advisors to give wealth management tips to your clients!
Personalized port-folio decisions taking into account client’s historical
investment decisions, Market reports, Risk profile & other factors
Application
in Wealth
Management Services
Scouring
Big data
from
different
sources
Knowing
what to
invest in?
Preparing
for
investment
Market
Predictions
AI chatbots
Can help client
answer all possible
questions before
investment
Scouring
articles, stock
ratings, reports
by AI Bots to
collect data
Profiling info. to
figure out the best
investment
decisions
Market
predictions
considering all
possible factors
❶
❹
❷
❸
What & How do they do?
Artificial
Intelligence

21. AI Bots built with NLP & ML algorithms are making it easy to make
bill payments with/without internet
Application
in Utility Bill
Payments
Companies like Hipmunk are using Messenger to book and pay
for hotels with the linked card on Facebook directly within
Messenger, which streamlines their entire booking process.
Mypoolin offers chatbot that allows you to send or receive
payments via text messaging. All users have to do is input a
command like ‘transfer [amount] [phone number]’ and once the
payment is processed the recipient receives the money instantly.
This allows users to make direct p2p payments without leaving
your preferred app or platform. For instance, you can simply
type “/PayPal send $5 to @Tom” within Slack to pay him back
for that morning cup of coffee.
Artificial
Intelligence

22. Application
for superior
CX
Rising awareness in
substitutes available
Why superior Customer Experience is so important?
Greater Consumer
Choice
Eroding
Loyalty
Customer Experience
Stream Lining
Processes
How is AI changing Customer Experience?
*CX stands for Customer Experience
Natural
Language
Interfaces
Personalization
of Marketing
Marketing
Automation
Image & Pattern
recognition
NLP for
Customer
Satisfaction
Robotic Process
Automation
Real Time
Tailored
Communication
Recommenda-
tion Systems
Predicting
Customer Churn
& Segmentation
Improve
Customer Loyalty
& Retention
Artificial
Intelligence

23. Application
for superior
CX
Few Examples
*CX stands for Customer Experience
Natural Language
Interfaces
Stream Lining
Processes
Contact centers improve customer interactions by using
Chatbots to provide quick resolutions to their problems,
there by reducing over head costs without impacting
customer service
Personalization
Businesses are increasingly taking advantage of this desire for
personalization by employing AI to analyze their customers’
habits and interests and offering them sales, marketing and
other content that entices them to make a purchase
Robotic Process
Automation
RPA is the application of a computer software or
“robot” to process transactions, manipulate data or
trigger responses, depending on the scope of the
request.
Leveraging algorithms like Naïve Bayes & Neural Networks,
we can analyze history of product purchases (Financial) and
present personalized content recommendations.
Recommendation
Systems
Speech recognition technology has come a long way
with advances in natural language understanding. This
enables customers to speak to an Interactive Voice
Response (IVR) system in a natural way.
Artificial
Intelligence

24. Implement the following before thinking about AI
Is Your Organization
ready for AI?
4 Different ways to deploy AI in your Organization!
Focus on Clean data:
ML algorithms require
clean data to learn from
Integrated data
warehousing:
Connect data from
different silos
Identify Starting
Point
Think about deploying
AI strategically
Automated
Intelligence
• Improves
human
productivity by
automating
manual tasks
(e.g., software
that compares
documents and
spots
inconsistencies
and errors).
Assisted
Intelligence
• Helps people
perform tasks
faster and
better (e.g.,
medical image
classification,
real-time
operational
efficiency
improvement).
Augmented
Intelligence
• Helps people
make better
decisions by
analyzing past
behavior (e.g.,
media
curation,
guided
personal
budgeting, on-
the-fly decision
analysis).
Autonomous
intelligence
• Automates
decision-
making
processes
without human
intervention
while also
putting
controls into
place
Artificial
Intelligence

25. Thank You!