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BIG
Data
Understanding
to
From
COCHRANE
a s s o c i a t e s
cochrane.org.uk
ca-global.org
Peter Cochrane
GENERALITY !Augmenting data mining with big data
Fom
fine
detail
to the big picture
WHY
All
The
Excitement ?
A new tool addresses some of our biggest challenges:
-A fully networked, connected and increasingly open world
-Disparity of disconnected/siloed disciplines and industries
-Rapid rise of complexity far exceeding human abilities
-Gross failure of old thinking, models and methods
-Rise of non-linerity and emergent behaviour
-Displacement of technologies and people
-Growth of interdisciplinary relationships
-Acceleration of technology and change
-Freedom of data and information
-Globalisation of everything
- +++++
WHY
The
BIG
Deal ?
These problem sets are way beyond:
-The desk top
-Past thinking
-Spread sheets
-Old data bases
-Simple analysis
-Basic mathematics
-Simple programming
-Relational data bases
-All our past experiences
- +++++
WHY
Is
I t a l l s o
I m p o r t a n t ?
We are in a new era of:
-Novel causalities
-Correlation discovery
-More powerful computer models
-Unusual and unexpected solutions
-Extremely rare event identification
-Unexpected behaviours and outcomes
-Original classes of relationship discovery
-Degree of freedom reduction from six to two
-Rare and improbable association identification
-Previously unseen classes of objects/behaviours
-Essential element creation for sustainable futures
- +++++
FREEDOM
What
Degree of
S e p a r a t i o n ?
Analogue World
D i s c o n n e c t e d
Insulated Society
Digital World
C o n n e c t e d
N e t w o r k e d
People
Organisations
Machines
Things
<6
<5
∞
∞
<3
<2
<10
<30
The smaller the separation
the bigger the networking
and data generated
BIG
Global
Dynamic
Distributed
We have to addresses new sets of
issues and dimensions created by
a fast moving digital world that
have remained largely unseen,
untapped, and of a scale and
complexity never seen before
SCALE!
Beyond
H u m a n
C a p a c i t y
A small sample of our formidable challenges:
-Sustainability
-Genome Decode
-Protein structure/folding
-Social network associations
-Genome-protein communication
-Disease causality and propagation
-Global/National medical records analysis
-Seismic analysis for raw material location
-Money laundering and tax avoidance tracing
-Terrorist and criminal activity characterisation
-Astronomical data analysis and ‘body’ classification
+++++
SIZE
How
M uch
D a t a ?
0 2000 2005 2010 2015 2020 2025 2030
1000
100
10
1
0.1
0.01
0.001
More Data
Created in
2002 than
all of time
up to that
point !
Spread of data
creation estimates
Beyond Moore’s Law
exponential growth
that is Aaccelerating
EBytes/day
SIZE
How
M uch
D a t a ?
>> than the per day
2003 ~ 5EB/year
2015 ~ 5EB/day
WHERE
Does
I t a l l
C o m e F ro m ?
Things
Pe o p l e
M ac hine s
Education
H e a l t h C a re
I n s t i t u t i o n s
G o v e r n m e n t
C o m m u n i c a t i o n
+ ++ ++ +++ +++++
Transportation
Networking
C o m m e rc e
Business
S e c u r i t y
Po l i c i n g
S c i e n c e
Media
++++
C o m p e t i t i o n
Exploration
Research
Markets
G re e n
S o c i a l
O p e n
A p p s
++++
ANALYTICS
Structured
U n - S t r u c t u re d
S e m i - S t r u c t u re d
Applicability:
-Retail
-Science
-Banking
-Security
-Defence
-Medicine
-Wholesale
-Commerce
-Production
-Technology
-Manufacturing
Manufacturing
Government
Exploration
Institutions
Resourcing
Innovation
Education
Creativity
Logistics
Energy
+++++
ANALYTICS
Lots
o f D e t a i l
v Re l a t i o n s h i p s
Data Mining Data
Micro-View
Data &
Detail
Big Data
Macro-View
Relationships
Limited
C o n t a i n e d
C o n s t r a i n e d
Expaning
Te n d i n g t o
The Infinite
HUH?
Knowns
U n k n o w n s
U n k n o w n U n k n o w n s
The many problems:
-Certain and well defined challenges
-Suspected or manifest in some way, but ill defined
-To be discovered, become apparent, present problems
-Primary limitations are our ability to detect and characterise
-Secondary limitations include our inability to recognise significance
-Causality, probablity, statistics conspire to conceal, confuse and trick us!
- +++++
TRUTH
Is It
S t a t i c
Veracious ?
The Earth is:
-Flat
-Static
-Spherical
-An oblate spheroid
-T h e c e n t re o f u n i ve r s e
-T h e a x i s o f t h e s u n a n d s t a r s
-Centre of universe
P l an ts:
-Grow out of the soil
-Have no sensory facility
-Cannot grow without light
The ability to o b s e r ve , measure and
model with increasing accuracy
creates dynamic and more
relevant truths in line
with our growing
knowledge &
reality
In general ‘truth’ is dynamic and not
a fixed entity - it mutates as we
gather more information
and create deeper
understandings
HUMAN
Limited
Reasoning
and Analysis !
Big Data scale and complexity:
-Render Big Data beyond human abilities alone
-See structured and relational databases falling far short
-Make crude correlation and association analysis inadequate
-Includes many disparate/hidden relationships that are confounding
-Introduces multi-dimensional visualisation/conceptualisation difficulties
-Extends analysis beyond ‘Order 5’ mathematical models/general methods
- +++++
THEORY
We
Do Not
H a v e O n e !
Big Data really needs a Big Theory:
-Complexity confounds us
-There are no generalised solutions
-There is no suitable math framework
-To some degree we are working partially blind
-We can only use what we have already establisged
-Computer modelling/simulation/analogues can be used
-Hypothesis testing and experimental trials are often vital
- +++++
We Have ‘NO”
G e n e r a l P u r p o s e
To o l s / M e t h o d o l o g i e s
SYMBIOSIS
A New
Partner
for Mankind
Joining forces with
m a c h i n e s a p p e a r s t o
be the only viable future
Vital
Sy m bi o si s &
A u g m e n t a t i o n
LowHigh
Low High
MAN AI
HighLow
Analysis
Modelling
Processing
Mathematics
Computation
History
Intuition
Creativity
Experience
Dimensionality
+
PICTURESVary with people, things +++:
-Social
-Intent
-Interest
-Mobility
-Browsing
-Expertise
-Ownership
-Connectivity
-Consumption
-Communication
- +++++
In
F o r m
&Scale
PICTURES We
Might
C o n j o u r !
This will vary with people, things, organisation:
-Social
-Intent
-Interest
-Mobility
-Browsing
-Expertise
-Ownership
-Connectivity
-Consumption
-Communication
- +++++
TOOLSGenerally beyond the abilities of most companies:
-Graph theory
-Hash filtering
-Causality testing
-Weighted mapping
-Trajectory projection
-N Dimensional sifting
- +++++
Key to
S u c c e s s
S p e c i a l i s e d
THE #
Key to
A n a l y s i s B y
Transformation
Very weak to strong relationship identification:
-Generally applicable
-Reveals subtle relationships
-Effective for small and big data
-Weeds out/reveals concealed links
- +++++
MAPPING
Path
Tracing
Relationships
N-Dimensional relationship characterisation:
-Easily understood
-Generally applicable
-Fits human perception
-Reveals subtle relationships
-Effective for small and bid data
-Weeds out/reveals concealed links
- +++++
VISUALISATIONExploit graphics & display technology
-Big
-Clear
-Static
-Colour
-Explicit
-Intuitive
-Animated
-Interactive
- +++++
In
Every
Dimension
ANIMATIONS
Add New
Dimensions
G re a t e r U n d e r s t a n d i n g
Search: Hans Roling @ TED
Hans Rosling
Gapminder
GENESIS
The
J o u r n e y
H a s J u s t B e g u n
Big Data and Complexity
need generalised theories like physics
needed thermodynamics and quantum mechanics
UNDERSTANDING
Never
Been so
Difficult
Our single biggest challenge as a species:
-Our past was built on it
-Our future depends upon it
-We are not evolving to be any smarter
-Ultimately we are limited by our tools
-Technology is our only survival route
END GAME
Wisdoms
K n o w l e d g e
U n c e r t a i n t y
Our big conceptual challenge: moving
on from a history of ‘static truths’ and
mostly clear and certain answers to a
world dominated by the probabalistic
and uncertain where ‘the truth’ has to
be updated and rewritten
Our primary tool here: Increasingly
powerful instruments of observation and
m e a s u r e m e n t , c o m p l e m e n t e d b y
computer deep modelling and simulation
THANK YOU
cochrane.org.uk
ca-global.org
COCHRANE
a s s o c i a t e s

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Big data to big understanding

  • 1. BIG Data Understanding to From COCHRANE a s s o c i a t e s cochrane.org.uk ca-global.org Peter Cochrane
  • 2. GENERALITY !Augmenting data mining with big data Fom fine detail to the big picture
  • 3. WHY All The Excitement ? A new tool addresses some of our biggest challenges: -A fully networked, connected and increasingly open world -Disparity of disconnected/siloed disciplines and industries -Rapid rise of complexity far exceeding human abilities -Gross failure of old thinking, models and methods -Rise of non-linerity and emergent behaviour -Displacement of technologies and people -Growth of interdisciplinary relationships -Acceleration of technology and change -Freedom of data and information -Globalisation of everything - +++++
  • 4. WHY The BIG Deal ? These problem sets are way beyond: -The desk top -Past thinking -Spread sheets -Old data bases -Simple analysis -Basic mathematics -Simple programming -Relational data bases -All our past experiences - +++++
  • 5. WHY Is I t a l l s o I m p o r t a n t ? We are in a new era of: -Novel causalities -Correlation discovery -More powerful computer models -Unusual and unexpected solutions -Extremely rare event identification -Unexpected behaviours and outcomes -Original classes of relationship discovery -Degree of freedom reduction from six to two -Rare and improbable association identification -Previously unseen classes of objects/behaviours -Essential element creation for sustainable futures - +++++
  • 6. FREEDOM What Degree of S e p a r a t i o n ? Analogue World D i s c o n n e c t e d Insulated Society Digital World C o n n e c t e d N e t w o r k e d People Organisations Machines Things <6 <5 ∞ ∞ <3 <2 <10 <30 The smaller the separation the bigger the networking and data generated
  • 7. BIG Global Dynamic Distributed We have to addresses new sets of issues and dimensions created by a fast moving digital world that have remained largely unseen, untapped, and of a scale and complexity never seen before
  • 8. SCALE! Beyond H u m a n C a p a c i t y A small sample of our formidable challenges: -Sustainability -Genome Decode -Protein structure/folding -Social network associations -Genome-protein communication -Disease causality and propagation -Global/National medical records analysis -Seismic analysis for raw material location -Money laundering and tax avoidance tracing -Terrorist and criminal activity characterisation -Astronomical data analysis and ‘body’ classification +++++
  • 9. SIZE How M uch D a t a ? 0 2000 2005 2010 2015 2020 2025 2030 1000 100 10 1 0.1 0.01 0.001 More Data Created in 2002 than all of time up to that point ! Spread of data creation estimates Beyond Moore’s Law exponential growth that is Aaccelerating EBytes/day
  • 10. SIZE How M uch D a t a ? >> than the per day 2003 ~ 5EB/year 2015 ~ 5EB/day
  • 11. WHERE Does I t a l l C o m e F ro m ? Things Pe o p l e M ac hine s Education H e a l t h C a re I n s t i t u t i o n s G o v e r n m e n t C o m m u n i c a t i o n + ++ ++ +++ +++++ Transportation Networking C o m m e rc e Business S e c u r i t y Po l i c i n g S c i e n c e Media ++++ C o m p e t i t i o n Exploration Research Markets G re e n S o c i a l O p e n A p p s ++++
  • 12. ANALYTICS Structured U n - S t r u c t u re d S e m i - S t r u c t u re d Applicability: -Retail -Science -Banking -Security -Defence -Medicine -Wholesale -Commerce -Production -Technology -Manufacturing Manufacturing Government Exploration Institutions Resourcing Innovation Education Creativity Logistics Energy +++++
  • 13. ANALYTICS Lots o f D e t a i l v Re l a t i o n s h i p s Data Mining Data Micro-View Data & Detail Big Data Macro-View Relationships Limited C o n t a i n e d C o n s t r a i n e d Expaning Te n d i n g t o The Infinite
  • 14. HUH? Knowns U n k n o w n s U n k n o w n U n k n o w n s The many problems: -Certain and well defined challenges -Suspected or manifest in some way, but ill defined -To be discovered, become apparent, present problems -Primary limitations are our ability to detect and characterise -Secondary limitations include our inability to recognise significance -Causality, probablity, statistics conspire to conceal, confuse and trick us! - +++++
  • 15. TRUTH Is It S t a t i c Veracious ? The Earth is: -Flat -Static -Spherical -An oblate spheroid -T h e c e n t re o f u n i ve r s e -T h e a x i s o f t h e s u n a n d s t a r s -Centre of universe P l an ts: -Grow out of the soil -Have no sensory facility -Cannot grow without light The ability to o b s e r ve , measure and model with increasing accuracy creates dynamic and more relevant truths in line with our growing knowledge & reality In general ‘truth’ is dynamic and not a fixed entity - it mutates as we gather more information and create deeper understandings
  • 16. HUMAN Limited Reasoning and Analysis ! Big Data scale and complexity: -Render Big Data beyond human abilities alone -See structured and relational databases falling far short -Make crude correlation and association analysis inadequate -Includes many disparate/hidden relationships that are confounding -Introduces multi-dimensional visualisation/conceptualisation difficulties -Extends analysis beyond ‘Order 5’ mathematical models/general methods - +++++
  • 17. THEORY We Do Not H a v e O n e ! Big Data really needs a Big Theory: -Complexity confounds us -There are no generalised solutions -There is no suitable math framework -To some degree we are working partially blind -We can only use what we have already establisged -Computer modelling/simulation/analogues can be used -Hypothesis testing and experimental trials are often vital - +++++ We Have ‘NO” G e n e r a l P u r p o s e To o l s / M e t h o d o l o g i e s
  • 18. SYMBIOSIS A New Partner for Mankind Joining forces with m a c h i n e s a p p e a r s t o be the only viable future
  • 19. Vital Sy m bi o si s & A u g m e n t a t i o n LowHigh Low High MAN AI HighLow Analysis Modelling Processing Mathematics Computation History Intuition Creativity Experience Dimensionality +
  • 20. PICTURESVary with people, things +++: -Social -Intent -Interest -Mobility -Browsing -Expertise -Ownership -Connectivity -Consumption -Communication - +++++ In F o r m &Scale
  • 21. PICTURES We Might C o n j o u r ! This will vary with people, things, organisation: -Social -Intent -Interest -Mobility -Browsing -Expertise -Ownership -Connectivity -Consumption -Communication - +++++
  • 22. TOOLSGenerally beyond the abilities of most companies: -Graph theory -Hash filtering -Causality testing -Weighted mapping -Trajectory projection -N Dimensional sifting - +++++ Key to S u c c e s s S p e c i a l i s e d
  • 23. THE # Key to A n a l y s i s B y Transformation Very weak to strong relationship identification: -Generally applicable -Reveals subtle relationships -Effective for small and big data -Weeds out/reveals concealed links - +++++
  • 24. MAPPING Path Tracing Relationships N-Dimensional relationship characterisation: -Easily understood -Generally applicable -Fits human perception -Reveals subtle relationships -Effective for small and bid data -Weeds out/reveals concealed links - +++++
  • 25. VISUALISATIONExploit graphics & display technology -Big -Clear -Static -Colour -Explicit -Intuitive -Animated -Interactive - +++++ In Every Dimension
  • 26. ANIMATIONS Add New Dimensions G re a t e r U n d e r s t a n d i n g Search: Hans Roling @ TED Hans Rosling Gapminder
  • 27. GENESIS The J o u r n e y H a s J u s t B e g u n Big Data and Complexity need generalised theories like physics needed thermodynamics and quantum mechanics
  • 28. UNDERSTANDING Never Been so Difficult Our single biggest challenge as a species: -Our past was built on it -Our future depends upon it -We are not evolving to be any smarter -Ultimately we are limited by our tools -Technology is our only survival route
  • 29. END GAME Wisdoms K n o w l e d g e U n c e r t a i n t y Our big conceptual challenge: moving on from a history of ‘static truths’ and mostly clear and certain answers to a world dominated by the probabalistic and uncertain where ‘the truth’ has to be updated and rewritten Our primary tool here: Increasingly powerful instruments of observation and m e a s u r e m e n t , c o m p l e m e n t e d b y computer deep modelling and simulation