ARTIFICIAL INTELLIGENCEIN THE FINANCIAL SECTOR
Azeem Azhar, VP Venture & Foresight
Schibsted Media Group
@azeem
http://azeem.io/s
Only three ways for humans to
get smarter
Evolution
Genetic engineering
Artificial intelligence
Inspired by Doug Lenat
3
Across the uncanny valley
AI is an umbrella term
AI
Machine 

learning
Deep 

learning
NLP
Predictive

analytics
Rule-based 

systems
The BLUF
Better, cheaper predictions
Risk management, trading, advising, KYC, credit
assessments
Automation of human tasks
Customer service, advice, interfaces, back office
process
Product innovation
New products and markets will open up
WHAT NEW SOURCE OF ALPHA
Judgment

Experience,
intimacy
Agility or
monopoly
Algorithmic improvement
DQN DDQN PRIORITISED DUELLING
IMPROVEMENT OVER 12 MONTHS
Miles Brundage
Better at video games
7
Good as human: captioning
8
Complex Tasks: Image Caption Generation
http://arxiv.org/abs/1411.4555 “Show and Tell: A Neural Image Caption Generator”
9
Neural machine translation
Major global internet
companies
release internal machine
learning & AI
frameworks
G, M, A & F: High level
MLaas & AIaas
Majors move into open source
11
Can I
compete?
AI favours the large
$$$$
training cost
Improves with scale
(data, layers, parameters)
Hiring the right talent
Artificial Intelligence Explodes: New Deal Activity Record For AI
Startups
The AI lock-in loop
Inspired by Barney Pell
FinTech is booming with UK in the lead
This isn’t new
41 startups bringing artificial intelligence to Fintech
In Q3 2016 VC-backed finch companies raised
$2.4B across 178 deals
Overall fintech investment reached $2.9B
BENEFITS
Faster actions and decisions (e.g. for fraud detection)
Better outcomes (e.g. for portfolio optimisation)
Greater efficiency (i.e. better use of highly skilled
people or expensive equipment)
Lower costs (e.g. reducing labour costs with
automated telephone customer service)
Greater scale (i.e. performing large-scale tasks
impractical to perform manually)
Product and service innovation (from adding new
features to creating entirely new products)
CHALLENGES
AUTOMATION COMPETITION
CASCADING
FAILURE
“I suspect that it’s going to transform all aspects of the financial
industry”
Andrew Lo, Director of the Laboratory for Financial Engineering at the MIT Sloan School of Management
Euromoney Institutional Investor Thought Leadership survey of 424 senior executives from financial institutions around the world
Within 15 years, 68%expect to see
complete or substantial change to their own
jobs.
4/10 fear it will have a negative effect on the structure of
the workforce sooner – within the next three years.
Euromoney Institutional Investor Thought Leadership survey of 424 senior executives from financial
institutions around the world
LOAN ASSESSMENT
RISK MANAGEMENT
UP SELL/CROSS SELL
FRAUD DETECTION
TRADING
KYC/AML
USE CASES
Algorithmic trading systems now handle
75 %
of the volume of global trades worldwide
TRADING
“In five to ten years, half of all financial advisors will be gone”
Ric Edelman, Edelman Financial Services, top financial advisor in US
Identifies and executes trades
entirely on its own
AI that runs across on
thousands of machines
Uses evolutionary computation
and deep learning
Automatically recognizes
changes in the market and
adapts
HEDGE FUNDS: AIDYIA
Numerai: collective artificial
intelligence to make stock market
predictions.
Data scientists submitted over 12
billion equity price predictions in less
than a year
STOCK MARKET PREDICTIONS
BIOMETRIC BANKING
SANTANDER: VOICE
PRINT

MASTERCARD: SELFIE ID

HSBC: FINGERPRINT
Robots as customer service in retail banks
Human AI chat bots
e.g. Cleo
Challenges - opportunity identification & ethical execution
How to identify opportunities
How to build capabilities &
culture
How to manage business model
challenges
How to deal with humans
How to manage risk in the face
of systemic cascades
@azeem
Thank you.
subscribe for weekly updates
www.exponentialview.co

Artificial Intelligence - Azeem Azhar

  • 1.
    ARTIFICIAL INTELLIGENCEIN THEFINANCIAL SECTOR Azeem Azhar, VP Venture & Foresight Schibsted Media Group @azeem http://azeem.io/s
  • 2.
    Only three waysfor humans to get smarter Evolution Genetic engineering Artificial intelligence Inspired by Doug Lenat
  • 3.
  • 4.
    AI is anumbrella term AI Machine 
 learning Deep 
 learning NLP Predictive
 analytics Rule-based 
 systems
  • 5.
    The BLUF Better, cheaperpredictions Risk management, trading, advising, KYC, credit assessments Automation of human tasks Customer service, advice, interfaces, back office process Product innovation New products and markets will open up WHAT NEW SOURCE OF ALPHA Judgment
 Experience, intimacy Agility or monopoly
  • 6.
    Algorithmic improvement DQN DDQNPRIORITISED DUELLING IMPROVEMENT OVER 12 MONTHS Miles Brundage
  • 7.
  • 8.
    Good as human:captioning 8 Complex Tasks: Image Caption Generation http://arxiv.org/abs/1411.4555 “Show and Tell: A Neural Image Caption Generator”
  • 9.
  • 10.
    Major global internet companies releaseinternal machine learning & AI frameworks G, M, A & F: High level MLaas & AIaas Majors move into open source
  • 11.
    11 Can I compete? AI favoursthe large $$$$ training cost Improves with scale (data, layers, parameters) Hiring the right talent
  • 12.
    Artificial Intelligence Explodes:New Deal Activity Record For AI Startups
  • 13.
    The AI lock-inloop Inspired by Barney Pell
  • 14.
    FinTech is boomingwith UK in the lead
  • 15.
  • 16.
    41 startups bringingartificial intelligence to Fintech
  • 17.
    In Q3 2016VC-backed finch companies raised $2.4B across 178 deals Overall fintech investment reached $2.9B
  • 18.
    BENEFITS Faster actions anddecisions (e.g. for fraud detection) Better outcomes (e.g. for portfolio optimisation) Greater efficiency (i.e. better use of highly skilled people or expensive equipment) Lower costs (e.g. reducing labour costs with automated telephone customer service) Greater scale (i.e. performing large-scale tasks impractical to perform manually) Product and service innovation (from adding new features to creating entirely new products)
  • 19.
  • 20.
    “I suspect thatit’s going to transform all aspects of the financial industry” Andrew Lo, Director of the Laboratory for Financial Engineering at the MIT Sloan School of Management Euromoney Institutional Investor Thought Leadership survey of 424 senior executives from financial institutions around the world
  • 21.
    Within 15 years,68%expect to see complete or substantial change to their own jobs. 4/10 fear it will have a negative effect on the structure of the workforce sooner – within the next three years. Euromoney Institutional Investor Thought Leadership survey of 424 senior executives from financial institutions around the world
  • 22.
    LOAN ASSESSMENT RISK MANAGEMENT UPSELL/CROSS SELL FRAUD DETECTION TRADING KYC/AML USE CASES
  • 23.
    Algorithmic trading systemsnow handle 75 % of the volume of global trades worldwide TRADING
  • 24.
    “In five toten years, half of all financial advisors will be gone” Ric Edelman, Edelman Financial Services, top financial advisor in US
  • 25.
    Identifies and executestrades entirely on its own AI that runs across on thousands of machines Uses evolutionary computation and deep learning Automatically recognizes changes in the market and adapts HEDGE FUNDS: AIDYIA
  • 26.
    Numerai: collective artificial intelligenceto make stock market predictions. Data scientists submitted over 12 billion equity price predictions in less than a year STOCK MARKET PREDICTIONS
  • 27.
  • 28.
    Robots as customerservice in retail banks
  • 29.
    Human AI chatbots e.g. Cleo
  • 30.
    Challenges - opportunityidentification & ethical execution How to identify opportunities How to build capabilities & culture How to manage business model challenges How to deal with humans How to manage risk in the face of systemic cascades
  • 31.
    @azeem Thank you. subscribe forweekly updates www.exponentialview.co