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Tapp Commerce
Sami Leino, Director of Business Development
Accelerated Finance
From linear to exponential thinking
Photo: Don McCullough Creative Commons Flickr
Creating faster and more accurate results with accelerated processes.
Exponential Progress
Exponential
growth factor
Unexpected
results
Expected results
x10
x1000000
Kodak invented CCD technology in 1970’s,
too steeped in tradition for change.
1998 Kodak had 170.000 employees, in
2012 filed for bankruptcy.
Business model disappeared in 36 months
after 124 years of operation.
Kodak had unwillingness to change,
from chemical to electronics company.
Faster Disruption
Digital movement decimated print photos.
Disruption
right there!
Apple and Kodak camera in 1994.
Evolution of camera component from $100k to $5.
Source:	Wikipedia,	Peter	Dimandis
“40% of Fortune Top500 companies will disappear in a decade.”
John Chambers, CEO, Cisco
“50% of jobs in developed countries will be replaced by automation”
Humans are needed to create and operate robotic systems.
Automation Source:	spectrum.ieee.org Exponential	Finance	2016
Growth creates complexity and complexity is the killer of growth.
Growth and Complexity
Pre-Industrial Age Industrial Age Post-Industrial Age
“Individual productivity” “Economies of Scale” “Complexity”
Cost
Volume
Cost
Volume
Cost
Volume
Fixed costs Variable costs Complexity costs
Source:	Wilson	Perumal Company
Law of Accelerated Returns
Processor capacity increased
3000x times in a decade.
1956 2005 2016
Cost of computing decreased x 90k
Exponential growth in computing
Source:	D-Wave,	Wikipedia,	Exponential	Finance	2016,	publicdomainpictures.net
We are nearing end of Moore’s law.
Size of transistors are reaching physical limits.
Transistor per $ has peaked.
End of Moore’s Law
Transistor size
Transistor per $
2000 2012
2016
2016
Design rule nm
Transistor size
Source:	Wikipedia,	Exponential	Finance	2016
http://www.telegraph.co.uk/technology/2016/
Paradigm Shift-Rate
relay
Vacuum
tube
Transistors
Integrated
circuits
Overall rate of technology development doubles every decade.
1900 1920 1940 1960 1980 2000 2020 2040
Ray Kurzweil - 2001
Three-dimensional	(3-D)	integration
Nanophotonic Communication
Wireless	Interconnects
Quantum	Computing
Source:	Columbia	University
Networks-on-Chip	in	Emerging	Interconnect	Paradigms:	Advantages	and	Challenges
Blockchain
Transaction database & protocol to build, relay and execute
financial transactions based on calculated certainty of parties.
Blockchain defies financial institutions steeped in tradition.
(Kodak’s unwillingness to change)
• Based on peer-to-peer relationships.
• Redefined trust between institutions is based on certainty.
• Permanent record storage with never-ending historical tail.
• Bitcoin uses transaction chain based on Blockchain.
Exponential Technologies
Financial Productivity - AI
Artificial Intelligence, what do we get?
Human + pre-reasoned alternatives = Best-of-breed selections
Source:	Exponential	finance	2016
High
performance
Non biased
decisions
Fast operational
velocity
No reorganizing
departments
24 x 7
operations
No sick leave
and whining!
Cutter Room Floor 95/5
Deep learning technologies meet AI
• Leverage constant knowledge building.
• Cut 95% of results, refine the 5%,
constant recurring results.
• Understand, agree and activate policies
for security, liability and ethics.
Focus	on	
top 5%
Constant
refining
Scrap 95%	
of	results
Source:	Exponential	finance	2015
Human-in-the-Loop
AI guided crowdsourced workflow.
• Tedious tasks are AI controlled.
• AI confidence factor under scrutiny.
• Crowdsourced humans guide AI.
• AI long term independence from crowd-
guidance.
New	work	
assignment
AI	controlled	
process
Confidence
calculation
Crowdsourced
guidance
AI	calibration
Source:	Peter	Dimandis	blog
House of Cat
AI functions with unlimited greed, without
controlling fear.
Networked drivers are the mice, in the
house of cat, today.
• Driver performance under scrutiny.
• If a driver starts to drive differently, heading
towards home, AI delivers more profitable
rides.
• “Orwellian control, slave to system” -Drivers.
Source:	http://www.latimes.com/business/technology/la-fi-tn-uber-arbitration-opt-out-20151211-story.html
Elon	musk
Acceleration
Breaking
G-forces
Velocity
Style
Start of day End of tour
Going home
Performance
Rides per hour
Trend
Revenues
Days
Hours
Going home?
There are new
rides for you!
Orientation
“Humans may become a mouse in house of a cat?”
Elon Musk
Deep Mind 2015
Deep Mind playing Breakout
Experience Level Tactic
After 10min very novice learning game
After 30min human level paddle towards ball
After 60min talented amateur hit rate 80%
After 90min professional hit rate 100%
After 120min expert level outruns game
After 240min creative moves beats the game
From zero to 90min AI outran a human.
https://www.youtube.com/watch?v=V1eYniJ0Rnk
Source:	The	New	Yorker	Feb	25,	2015,	YouTube	Mar	7,	2015.
Challenges – Markets
The markets are the only real-time real-life lab available.
Source: Networks-on-Chip	in	Emerging	Interconnect	Paradigms:	
Advantages	and	Challenges,	Exponential	Finance	2016
Not possible to repeat theories, for
identical environment comparison.
Missing comparison value.
Linear thinking and models
are about old math.
Need for Bayesian models to
meet deep learning.
Testing theorems require
extensive computing power.
No credible way to test
sampled models.
Photo:	Patrick	Finnegan,	Creative	Commons	
Photo:	Silveira Neto,	Creative	Commons	Photo:	Thenails Flickr,	Creative	Commons
Financial Productivity - Challenges
“Most claimed research findings in financial economics are likely false”
Prof. Cambell Harvey - President of American Finance Association
Source:	Exponential	finance	2016
American	finance	association,	Wikipedia
Heavy machinery needed to solve near real-time market problems.
• Dynamic portfolio analysis
• Scenario analysis
• Derivative pricing
• Real-time stochastic systems
New York Stock Exchange 1908, Wikipedia
1910’s millions of dollars per day
2010’s trillions of dollars per day
Solution – DC to QC
From Digital Computing to Quantum Computing
Deterministic Computing (DC)
cannot simulate probabilistic systems.
Probabilistic systems reflect to
real-time markets.
Quantum Computing (QC)
can solve this task.
Source:	Exponential	finance	2016
Photo:	DWAVE	Quantum	Computer
Quantum Intro Class
Source:	Exponential	finance	2016
Photo:	users.telenet.be/vdmoortel/dirk
Quantum Computing
Research studies of algorithms and
systems related to quantum phenomena.
Based on qubits – holding linear
superposition of states.
1:1 0:1 1:0 0:0
• Linear superposition – Simultaneous studying
of feasibility. 2 to power of n
• Entanglement and tunneling, physical
solutions to mathematical problems.
• Idea is to output all results in one go.
• Solutions for instant (de)cryptology.
Source:	Youtube:	Artificial	Intelligence	and	Machine	Conciousness
research.googleblog.com/2016/06/					Exponential	finance	2016
“Full harvest in one go”
Photo:	Phil	Hendley,	2006	Creative	Commons,	Flickr
Superforcasting is a systematic model to extract essential
signals from information masses: based on intuition,
probability and likelihoods of events.
• Foresight is a measurable skill that you can cultivate.
• We’re moving from predictive to prescriptive financial services.
• Self-learning forecasts will assist us in decision-making.
Superforecasters
Philosophy
Cautious
Nothing is certain.
Humble
Reality is indefinitely complex.
Non-deterministic
Events are not meant to be.
Superforecasting - Style
Open-minded
Test	hypothesis	
openly
Curious
Need	for	cognition
Self-critical
Reflective	thinking
Numerate
Comfortable	with	
numbers
Thinking	
Style
Source:	HBR,	US	Finance	News
Identify
Capture
AnalyzeCut	95%
Calibration
What to look for? Essential to find weak signals.
Identify -> Capture -> Analyze Signals favor or threat your business.
24/7
enhancement
Methods can consist of one or many tools.
Superforecasting - Methods
Synthesizing
Blend models with
your own
Analytical
Consider adversary
views
Pragmatic
Rational modelling
Not fixed to agenda
Probability focused
Likelihood based, not
1 or 0
Thoughtful
Accept fact change =
change of mind
Intuitive
Enjoy cognitive
challenges
Source:	HBR,	US	Finance	News
Motivation, Grit + Ethics = Commitment to precision
Superforcasting - Focus
Passion driven
Internal flame
Personality
I will get better
Tenacious
As long as it takes
Dedicated mind
Focus
Improvement
Internal metrics
Growth mindset
Constant betterment
Source:	HBR,	US	Finance	News
Precision
Germ.
Societies Cards Game changers
Game Changers
Tipping point
U.S. 45%
Australia 35%
Germany 33%
Cashless
Singapore 61%
Netherlands 60%
Sweden 59%
Inception
Indonesia 15%
Greece 2%
Peru 1%
8 million Indonesians own credit cards.
Reuters May 29th 2016
Debit Cards Per Head
Credit Cards Per Head
3.28
1.75
1.48
1.25
0.94
China
Aus.
UK
Germ.
US
2.9
1
0.88
0.33
0.06
US
Aus.
UK
China
Source:	ECB,	Reuters,	Jupiter	Research
Ind. 0.02
Universal database protocol
for financial transactions.
Microloans for entrepreneurs
in emerging countries.
Users are rated and graded by
Facebook relationships.
Inclusion of wealth into GDP.
Satisfied citizens, stability to
society.
Cash inclusion
Community ratings
Real-Time microfinance
Blockchain
Cash Society
5B people live in cash society. Full impact of informal economy
is not reflected in global GDP.
These people live in a daily economy, visibility is to sunset.
Inclusion to online economy evens inequality, reduces instability
and increases the proportion of satisfied people in economy.
Access to goods
and services
Wealth contributes
to GDP
Increased overall
stability in society
Source:	Tapp	Commerce
Cash vs. non Cash
non Cash
Cash
52%48%
34%66%
9%
7%93%
2%98%
35%65%
North America
Western Europe Eastern Europe
Latin America
Asia (developed)
Asia-Pacific (emerging)
91%
1%99%
Africa
Source:	McKinsey	&	GapGemini
Game changers are people themselves.
Cash inclusion, community based ratings,
instant lending, lag-free cash transfers,
are disruptive finance - real-time and in global scale.
Technology assists us in decision-making, but we make the final pick.
Who Makes The Final Pick?
“Computers need to learn how to understand the world like a human.”
Bart Selman, computer scientist, Cornell University
https://www.youtube.com/watch?v=6zpuHr7t8xI
“Thanks for Petteri for proofing.”
Thank you!
From linear to exponential thinking
Accelerated Finance
Tapp Commerce
Sami Leino, Director of Business Development

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Accelerated finance and tech leadership

  • 1. Tapp Commerce Sami Leino, Director of Business Development Accelerated Finance From linear to exponential thinking Photo: Don McCullough Creative Commons Flickr
  • 2. Creating faster and more accurate results with accelerated processes. Exponential Progress Exponential growth factor Unexpected results Expected results x10 x1000000
  • 3. Kodak invented CCD technology in 1970’s, too steeped in tradition for change. 1998 Kodak had 170.000 employees, in 2012 filed for bankruptcy. Business model disappeared in 36 months after 124 years of operation. Kodak had unwillingness to change, from chemical to electronics company. Faster Disruption Digital movement decimated print photos. Disruption right there! Apple and Kodak camera in 1994. Evolution of camera component from $100k to $5. Source: Wikipedia, Peter Dimandis “40% of Fortune Top500 companies will disappear in a decade.” John Chambers, CEO, Cisco
  • 4. “50% of jobs in developed countries will be replaced by automation” Humans are needed to create and operate robotic systems. Automation Source: spectrum.ieee.org Exponential Finance 2016
  • 5. Growth creates complexity and complexity is the killer of growth. Growth and Complexity Pre-Industrial Age Industrial Age Post-Industrial Age “Individual productivity” “Economies of Scale” “Complexity” Cost Volume Cost Volume Cost Volume Fixed costs Variable costs Complexity costs Source: Wilson Perumal Company
  • 6. Law of Accelerated Returns Processor capacity increased 3000x times in a decade. 1956 2005 2016 Cost of computing decreased x 90k Exponential growth in computing Source: D-Wave, Wikipedia, Exponential Finance 2016, publicdomainpictures.net
  • 7. We are nearing end of Moore’s law. Size of transistors are reaching physical limits. Transistor per $ has peaked. End of Moore’s Law Transistor size Transistor per $ 2000 2012 2016 2016 Design rule nm Transistor size Source: Wikipedia, Exponential Finance 2016 http://www.telegraph.co.uk/technology/2016/
  • 8. Paradigm Shift-Rate relay Vacuum tube Transistors Integrated circuits Overall rate of technology development doubles every decade. 1900 1920 1940 1960 1980 2000 2020 2040 Ray Kurzweil - 2001 Three-dimensional (3-D) integration Nanophotonic Communication Wireless Interconnects Quantum Computing Source: Columbia University Networks-on-Chip in Emerging Interconnect Paradigms: Advantages and Challenges
  • 9. Blockchain Transaction database & protocol to build, relay and execute financial transactions based on calculated certainty of parties. Blockchain defies financial institutions steeped in tradition. (Kodak’s unwillingness to change) • Based on peer-to-peer relationships. • Redefined trust between institutions is based on certainty. • Permanent record storage with never-ending historical tail. • Bitcoin uses transaction chain based on Blockchain. Exponential Technologies
  • 10. Financial Productivity - AI Artificial Intelligence, what do we get? Human + pre-reasoned alternatives = Best-of-breed selections Source: Exponential finance 2016 High performance Non biased decisions Fast operational velocity No reorganizing departments 24 x 7 operations No sick leave and whining!
  • 11. Cutter Room Floor 95/5 Deep learning technologies meet AI • Leverage constant knowledge building. • Cut 95% of results, refine the 5%, constant recurring results. • Understand, agree and activate policies for security, liability and ethics. Focus on top 5% Constant refining Scrap 95% of results Source: Exponential finance 2015
  • 12. Human-in-the-Loop AI guided crowdsourced workflow. • Tedious tasks are AI controlled. • AI confidence factor under scrutiny. • Crowdsourced humans guide AI. • AI long term independence from crowd- guidance. New work assignment AI controlled process Confidence calculation Crowdsourced guidance AI calibration Source: Peter Dimandis blog
  • 13. House of Cat AI functions with unlimited greed, without controlling fear. Networked drivers are the mice, in the house of cat, today. • Driver performance under scrutiny. • If a driver starts to drive differently, heading towards home, AI delivers more profitable rides. • “Orwellian control, slave to system” -Drivers. Source: http://www.latimes.com/business/technology/la-fi-tn-uber-arbitration-opt-out-20151211-story.html Elon musk Acceleration Breaking G-forces Velocity Style Start of day End of tour Going home Performance Rides per hour Trend Revenues Days Hours Going home? There are new rides for you! Orientation “Humans may become a mouse in house of a cat?” Elon Musk
  • 14. Deep Mind 2015 Deep Mind playing Breakout Experience Level Tactic After 10min very novice learning game After 30min human level paddle towards ball After 60min talented amateur hit rate 80% After 90min professional hit rate 100% After 120min expert level outruns game After 240min creative moves beats the game From zero to 90min AI outran a human. https://www.youtube.com/watch?v=V1eYniJ0Rnk Source: The New Yorker Feb 25, 2015, YouTube Mar 7, 2015.
  • 15. Challenges – Markets The markets are the only real-time real-life lab available. Source: Networks-on-Chip in Emerging Interconnect Paradigms: Advantages and Challenges, Exponential Finance 2016 Not possible to repeat theories, for identical environment comparison. Missing comparison value. Linear thinking and models are about old math. Need for Bayesian models to meet deep learning. Testing theorems require extensive computing power. No credible way to test sampled models. Photo: Patrick Finnegan, Creative Commons Photo: Silveira Neto, Creative Commons Photo: Thenails Flickr, Creative Commons
  • 16. Financial Productivity - Challenges “Most claimed research findings in financial economics are likely false” Prof. Cambell Harvey - President of American Finance Association Source: Exponential finance 2016 American finance association, Wikipedia Heavy machinery needed to solve near real-time market problems. • Dynamic portfolio analysis • Scenario analysis • Derivative pricing • Real-time stochastic systems New York Stock Exchange 1908, Wikipedia 1910’s millions of dollars per day 2010’s trillions of dollars per day
  • 17. Solution – DC to QC From Digital Computing to Quantum Computing Deterministic Computing (DC) cannot simulate probabilistic systems. Probabilistic systems reflect to real-time markets. Quantum Computing (QC) can solve this task. Source: Exponential finance 2016 Photo: DWAVE Quantum Computer
  • 19. Quantum Computing Research studies of algorithms and systems related to quantum phenomena. Based on qubits – holding linear superposition of states. 1:1 0:1 1:0 0:0 • Linear superposition – Simultaneous studying of feasibility. 2 to power of n • Entanglement and tunneling, physical solutions to mathematical problems. • Idea is to output all results in one go. • Solutions for instant (de)cryptology. Source: Youtube: Artificial Intelligence and Machine Conciousness research.googleblog.com/2016/06/ Exponential finance 2016 “Full harvest in one go” Photo: Phil Hendley, 2006 Creative Commons, Flickr
  • 20. Superforcasting is a systematic model to extract essential signals from information masses: based on intuition, probability and likelihoods of events. • Foresight is a measurable skill that you can cultivate. • We’re moving from predictive to prescriptive financial services. • Self-learning forecasts will assist us in decision-making. Superforecasters
  • 21. Philosophy Cautious Nothing is certain. Humble Reality is indefinitely complex. Non-deterministic Events are not meant to be. Superforecasting - Style Open-minded Test hypothesis openly Curious Need for cognition Self-critical Reflective thinking Numerate Comfortable with numbers Thinking Style Source: HBR, US Finance News Identify Capture AnalyzeCut 95% Calibration What to look for? Essential to find weak signals. Identify -> Capture -> Analyze Signals favor or threat your business. 24/7 enhancement
  • 22. Methods can consist of one or many tools. Superforecasting - Methods Synthesizing Blend models with your own Analytical Consider adversary views Pragmatic Rational modelling Not fixed to agenda Probability focused Likelihood based, not 1 or 0 Thoughtful Accept fact change = change of mind Intuitive Enjoy cognitive challenges Source: HBR, US Finance News
  • 23. Motivation, Grit + Ethics = Commitment to precision Superforcasting - Focus Passion driven Internal flame Personality I will get better Tenacious As long as it takes Dedicated mind Focus Improvement Internal metrics Growth mindset Constant betterment Source: HBR, US Finance News Precision
  • 24. Germ. Societies Cards Game changers Game Changers Tipping point U.S. 45% Australia 35% Germany 33% Cashless Singapore 61% Netherlands 60% Sweden 59% Inception Indonesia 15% Greece 2% Peru 1% 8 million Indonesians own credit cards. Reuters May 29th 2016 Debit Cards Per Head Credit Cards Per Head 3.28 1.75 1.48 1.25 0.94 China Aus. UK Germ. US 2.9 1 0.88 0.33 0.06 US Aus. UK China Source: ECB, Reuters, Jupiter Research Ind. 0.02 Universal database protocol for financial transactions. Microloans for entrepreneurs in emerging countries. Users are rated and graded by Facebook relationships. Inclusion of wealth into GDP. Satisfied citizens, stability to society. Cash inclusion Community ratings Real-Time microfinance Blockchain
  • 25. Cash Society 5B people live in cash society. Full impact of informal economy is not reflected in global GDP. These people live in a daily economy, visibility is to sunset. Inclusion to online economy evens inequality, reduces instability and increases the proportion of satisfied people in economy. Access to goods and services Wealth contributes to GDP Increased overall stability in society Source: Tapp Commerce
  • 26. Cash vs. non Cash non Cash Cash 52%48% 34%66% 9% 7%93% 2%98% 35%65% North America Western Europe Eastern Europe Latin America Asia (developed) Asia-Pacific (emerging) 91% 1%99% Africa Source: McKinsey & GapGemini
  • 27. Game changers are people themselves. Cash inclusion, community based ratings, instant lending, lag-free cash transfers, are disruptive finance - real-time and in global scale. Technology assists us in decision-making, but we make the final pick. Who Makes The Final Pick? “Computers need to learn how to understand the world like a human.” Bart Selman, computer scientist, Cornell University https://www.youtube.com/watch?v=6zpuHr7t8xI “Thanks for Petteri for proofing.”
  • 28. Thank you! From linear to exponential thinking Accelerated Finance Tapp Commerce Sami Leino, Director of Business Development