Our communications history is dominated by fixed networks of bounded linear predictability. These were based on precise engineering design giving assured information security, and measured operation. However, mobile devices, internet, social networks, IP, and Apps changed all that! Internets are inherently non-linear, unbounded, and essentially designoid — that is, mostly shaped by evolution, steered by demand/rapid innovation - highly adaptive and ‘learning’ in real time. So, those who suppose we can control such networks to fully guard and protect the information of institutions and individuals are sadly mistaken. And further confounded by Industry 4.0 and the Internet of Things (IoT). Here, a mix of the information of individuals and things, is distributed across the planet on a scale far larger than ever conceived in the past, to become essential components in the survival of our species in realising sustainable societies. Not surprising then, Privacy and Data protection are big issues for regulators, governments and civil liberties organisations. But so far, nothing has worked, and we see the UK Data Protection Act, EU-GDPR, EU-USA Shield, and Copyright Laws often ignored or worked around. These are largely derivatives of a paper based world and a pre-computing world are now largely unfit for purpose.

1. D A T A
Professor Peter Cochrane OB
E
www.petercochrane.com
I t ’s M y
N o t Y o u r s !

2. A S TAT E O F M I N D
F r o m s l o w a n d d i s c o n n e c t e d
To f a s t , d y n a m i c , c o n n e c t e d
S a f e h a n d s
C o n s t r a i n e d
C a r e e r f o c u s
P r o c e s s d r i v e n
S l o w t o c h a n g e
L o n g t e r m s t a b i l i t y
M e a s u r e d r i s k t a k e r s
C o n t i n u a l A d a p t a t i o n
I n n o v a t i o n d r i v e n
L o n g t e r m b u i l d
F a s t t o c h a n g e
P r o j e c t f o c u s
D a t a a n d
I n f o r m a t i o n
A f f o r d
P o w e r
a n d
C o n t r o l
I n f l u e n c e
and
C o o p e r a t i o n
Young minds
Aged minds

3. A S TAT E O F P L A Y
P r i v a t e c o n s t r a i n e d s o c i e t i e s
b e c a m e e x u b e r a n t e c o n o m i e s
Y o u o w n y o u r d a t a
i s v e r y l i m i t e d a n d
g u a r d e d , a n d o f n o
g r e a t v a l u e t o o t h e r s .
H o w e v e r , y o u r p r o d u c t
insights go mostly unknown
t o o t h e r s a n d t h a t a f f o r d s
y o u p o w e r , c o n t r o l , &
a d v a n t a g e w i t h i n y o u r
c o m m e r c i a l e n v i r o n m e n t
Y o u r p e r s o n a l d a t a i s l a r g e l y
a v a i l a b l e a n d f r e e , t r a d e d b y
y o u f o r s o c i a l & e c o n o m i c
a d v a n t a g e v i a c o m m e r c i a l
m e t r i c s u s e d b y c o r p o r a t e s .
Yo u s h a r e c o m p a n y / p r o d u c t
i n s i g h t s w i t h a l l c o l l e a g u e s
w i t h i n y o u r t e a m & c o m p a n y
Young minds
Aged minds

4. A S TAT E O F P R O G R E S S
Yo u r d a t a m u t a t e s i n t o 1 0 0 s o f m e t r i c s
t o f u r t h e r d e f i n e y o u a n d y o u r g r o u p i n g s
Yo u r M a n y
A c t i o n s
Yo u r
D a t a
T h e i r
D a t a

5. A S TAT E O F P R O G R E S S
Yo u r d a t a m u t a t e s i n t o 1 0 0 s o f m e t r i c s
t o f u r t h e r d e f i n e y o u a n d y o u r g r o u p i n g s
Yo u r M a n y
A c t i o n s
Yo u r
D a t a
T h e i r
D a t a
T h e i r
F a c t s
A b o u t
Yo u &
Yo u r s
D a t a a n a l y s i s u s e d t o
t a i l o r s e a r c h , s e r v i c e s ,
s a l e s , i n f o t a r g e t i n g + +

6. H i s t o r y
A n d t h e f u t u r e
H o w d i d w e g e t
h e r e a n d w h a t a r e
t h e n e x t s t e p s & t h e
w i d e r i m p l i c a t i o n s o n
a m a c r o a n d m i c r o s c a l e

7. I o T
A p l a n e t o f 5 0 - 5 0 0 B n
C o n n e c t e d T h i n g s
C O N N E C T e d P L A N E T
E v e r y o n e & E v e r y t h i n g 2 4 x 7
Global Internet Population ~ 6Bn People
~12Bn
Global
Devices
~1Bn
D e g r e e s
O f
F r e e d o m
~ 3
~ 4
~ 7
~ 2

8. T E L E P H O N E N E T
S t a t i c / C l a s s i c T r e e B r a n c h
D e g r e e s
O f
F r e e d o m
U s e r
C o n n e c t i o n
D u r a t i o n
C o n t e n t
S e r v i c e s
Mathematically designed & probabalistic customer modelling
TelecomTraf
fi
c
Wire > 99%
Phone > 95%
Fax ~ 3%
Telex ~ 2%

9. Telephone + Mobile
D y n a m i c H y b r i d T r e e B r a n c h
D e g r e e s
O f
F r e e d o m
U s e r
C o n n e c t i o n
D u r a t i o n
C o n t e n t
S E R V I C E S
L o c a t i o n
D e v i c e / O S
Mathematically template design - ‘vague’ customer modelling
Net Traf
fi
c
WiFi ~ 5%
Wire ~ 70%
Mobile ~ 25%

10. I n t e r n e t
L a y e r e d C o n n e c t i o n s
Poor design - probabalistic modelling abandoned!
D e g r e e s
O f
F r e e d o m
U s e r
C o n n e c t i o n
D u r a t i o n
C o n t e n t
S E R V I C E S
L o c a t i o n
D e v i c e / O S
I n t e r n e t
A p p l i c a t i o n s
O n l i n e W o r k
S o c i a l N e t s
e C o m m e r c e
C o n f e r e n c i n g
M u s i c & V i d e o
P a y m e n t s
B a n k i n g
A I + C l o u d s
+ + + + +
Net Traf
fi
c
WiFi > 50%
Wire > 45%
Mobile < 5%

11. E X E M P L A R
S o c i a l C o n n e c t i o n M a p
This is Not Topological
It is a people & interest
group connectivity
dynamic mapping
R a b b i t H o l e s o f
C o r d i a l i t y
I n t e r e s t s
B e l i e f

12. I o T
O M G ! !
D e g r e e s
O f
F r e e d o m
E v e r y t h i n g
i s n o w
D y n a m i c
s e l f g o v e r n i n g
& c a n c o n n e c t
A stochastic problem way beyond human/computing ability - we are guessing!

13. D e s i g n e d
I n t e n d e d
C h a n c e
A u t o n o m o u s
C o n n e c t
s a n s t h e
I n t e r n e t !
E X E M P L A R
I o T S p o n t a n e o u s S u b - N e t s
The emergent behaviours of The
I o T w i l l s e e n e w f o r m s o f
network(ing) never before witnessed
in nature or in the lab - and we are
entering uncharted territory!

14. h o w d i d w e
g e t h e r e ?
This is not a rhetorical
question !
It is important to frame
h u m a n a n d i n d u s t r i a l
progression in order to
understand the mechanisms
at work…
…our industrial progression
is no accident it is a causal
o u t c o m e o f n e e d a n d
demand! It is what we had
to do to survive…

15. Our future as a species is
going to be fundamentally
secured on new materials,
sciences, tech, engineering,
p r o c e s s e s , a u t o m a t i o n ,
r o b o t i c s , i n t e l l i g e n c e s ,
thinking things (SMARTS)…
…we must stop the destruction
of natural resources to live in
symbiosis with nature or she
will fight back and we will lose!
BIO-TECH nano-TECH
Lower energ
y
Lower wast
e
Less friction
New material
s
New industrie
s
New processe
s
New capabilities
Hot Spot
for 21C
AI
Robotics
I4.0: Kernel

16. BIO-TECH nano-TECH
AI
Robotics
An Eco-System of fixed
and mobile, wired and
wireless things…
IoT
Envelope
IoT orchestrating the life
cycle of all materials; the
production, supply, support,
through to reuse, repurpose,
recycling…all at high efficiency
I4.0: Kernel

17. BIO-TECH nano-TECH
AI
Robotics
An Eco-System of fixed
and mobile, wired and
wireless things…
IoT
Envelope
IoT orchestrating the life
cycle of all materials; the
production, supply, support,
through to reuse, repurpose,
recycling…all at high efficiency
The IoT will be the most
impactive on telecoms in
the first instance followed
by sensors, sensor nets
and ‘smart materials’ ++
I4.0: Kernel

18. Forward looking radar
and car-to-car comms
Rearward looking radar
and car-to-car comms
3,4,5G, WiFi
Network
Connection
The aggregated information stored de
fi
nes who you are;
what you do, where you travel, why, how you drive, and much
about your attitudes and behaviours plus family, friends & colleagues
Self contained data collection analysis and
storage - in a uniques Small Data Domain
Example 1
The IoT on Wheels
Every tagged component keeps a record
of everything from manufacture to install, repair,
replacement, reuse, recovery and materials recycling

19. SMART HOME
Body analysis for free

20. SEGUE
When all our devices, appliances and office equipment
is a part of the IoT, our user information makes us all
members of the design team for the first time !
The net result is a continual process of product refinement
tuned to our precise needs and habits rather than the
guesses, preconceptions and biases of the design team!

21. SEGUE
Drinks machines and food dispensers
migrate to health advisors and body
monitors!

22. SEGUE
Design Team
Who & what is missing?
All customers & users of this and previous
products + Additive Manufacture + AI and
the notion that design is now a continuum

23. A R E M I N D E R
Why do we need all this?
“Realising sustainable societies through far less
material and energy waste; reduced pollution;
higher efficiency industries, energy management,
and new materials, services and modes of living”
Unsustainable Global Energy Demand Typical UK Daily Demand Cycle
Min-Max Ratio can be
reduced by continual
u s e r f e e d b a c k / n e a r
re a l - t i m e c o n t ro l o f
home, & all appliances
+ car charging+++

24. S E G U A : A L L M Y D A T A !
A L i f e t i m e C o n t i n u u m o f P r o d u c t i o n
A p o s i t i v e p r e g n a n c y
t e s t s t a r t s t h e b u i l d
D o c u m e n t i n g a l l y o u r
l i f e i s n o w u n d e r w a y
a n d m o s t l y o n t h e g r i d
E s t a t e d i s p e r s e m e n t
a f t e r d e a t h i s c l o s u r e

25. H o w M u c h ?
A L i f e t i m e s D a t a !
A n a v e r a g e h u m a n o f
a n a v e r a g e l i f e s p a n
c r e a t e s a n a v e r a g e
~ 2 x 1 0 1 5 B y t e s
= 2 P e t a B y t e s
I n s t i t u t i o n s , m a c h i n e s
& c o m p a n i e s c r e a t e a
f u r t h e r r a f t o f d a t a
~ 3 x 1 0 1 5 B y t e s
= 2 P e t a B y t e s

26. H o w M u c h ?
A L i f e t i m e s D a t a !
A n a v e r a g e h u m a n o f
a n a v e r a g e l i f e s p a n
c r e a t e s a n a v e r a g e
~ 2 x 1 0 1 5 B y t e s
= 2 P e t a B y t e s
I n s t i t u t i o n s , m a c h i n e s
& c o m p a n i e s c r e a t e a
f u r t h e r r a f t o f d a t a
~ 3 x 1 0 1 5 B y t e s
= 2 P e t a B y t e s
G r o w i n g f a s t a n d i n a n
a c c e l e r a t i n g n u m b e r
o f d i f f e r e n t f o r m s ,
a n d u s e r p o p u l a t i o n !

27. What Have We Done?
W e o u t s o u r c e d T r u s t !
P l a n e t o f t h e A p p s !
A p p
S t o r e s
S t r e a m e d
S e r v i c e s
C l o u d
S e r v i c e s

28. D e e p a n a ly s i s
D a t a i s s h a r e d / t r a d e d !
I t s a l l a b o u t p a t t e r n s & relationships
between groups, peoples, preferences,
likes, do’s and don’ts what those in the
same classification might choose/want

29. D e e p a n a ly s i s
D a t a i s s h a r e d / t r a d e d !
I t s a l l a b o u t p a t t e r n s & relationships
between groups, peoples, preferences,
likes, do’s and don’ts what those in the
same classification might choose/want

30. T R U S T
A V a r i a b l e
A n a l o g u
e
n o
t
D i g i t a l
Reliance on the integrity, strength, ability, surety, etc., of a person or thing
E a r n e d
F o r m = B l i n d
L e a r n e d
c o n s i s t e n c
y
t i m e
T r u s t =
H u m a n
T y p e = M a c h i n e
N e t wo r k

31. A TWO WAY STREET?
T r u s t i s o f t e n a s y m m e t r i c
“ T h e o l d m o d e l o f t r u s t b a s e d o n
a c c u m u l a t e d e x p e r i e n c e s a n d t h e
o p i n i o n o f o t h e r s ”
“ I t w a s s l o w t o b u i l d ; c o u l d b e
l o s t i n a s e c o n d ; a n d t o o k
f o r e v e r t o r e p a i r ”

32. W H O D O W E T R U S T
H i g h l y v a r i a b l e a c r o s s c o u n t r i e s

33. W H O D O W E T R U S T
H i g h l y v a r i a b l e a c r o s s c o u n t r i e s
PARADOX
MOST TRUST
FB + TWITTER +++

34. T R U S T
C o n c a t e n a t e d
Reliance on the integrity, strength, ability, surety, etc., o
f
humans and things
Human . Huma
n
Human . Machin
e
Human . Net . Huma
n
Human . Net . Machin
e
Human . Net . Machine. Huma
n
Human . Net . Machine. Net . Huma
n
Machine . Net . Machine. Net . Machin
e
Machine . Net . Machine. Machin
e
Machine . Net . Machin
e
Machine . Machine
Trust
Numbers in The Loop
Actuality
Perceived

35. T R U S T
C o n c a t e n a t e d
Reliance on the integrity, strength, ability, surety, etc., o
f
humans and things
Human . Huma
n
Human . Machin
e
Human . Net . Huma
n
Human . Net . Machin
e
Human . Net . Machine. Huma
n
Human . Net . Machine. Net . Huma
n
Machine . Net . Machine. Net . Machin
e
Machine . Net . Machine. Machin
e
Machine . Net . Machin
e
Machine . Machine
Trust
Numbers in The Loop
HUMANS ARE
PRIMARY FAILURE
MECHANISM
WE ARE OUR OWN
PRIME PROTECTORS
WE OWN THE FAILS
Actuality
Perceived

36. D ata P r o t e c t i o n
F o d d e r f o r f o o l s o r a n e e d ?
“A perfect work avoidance
m e c h a n i s m a n d c o m f o r t
blanket for the paranoid”
“So far, legal efforts have
proven ineffective & much of
t h e l e g i s l a t i o n i g n o re d o r
unread“
“Reality: we have little or no
clue where to look or how to
find our information - and we
have freely given away vast
amounts because of the ROI
for us personally“
A prequel of what is to
come next to set the
technology and
social scene of
surprises!

37. Data Protection
M o s t l y I n e f f e c t i v e
Every attempt to limit, control, guard
and protect data and information at a
personal, corporate, institutional and
government has failed.
The big companies ‘salute’ it, the small
companies are either ignorant or lax,
whilst start ups and Joe public ignore it
or are completely unaware/ignorant.
Cyber criminals love it as there are many
opportunities in the space created - they
feed off the confusion using these laws to
extract the data they need.

38. Data Protection
M o s t l y I n e f f e c t i v e
Every attempt to limit, control, guard
and protect data and information at a
personal, corporate, institutional and
government has failed.
The big companies ‘salute’ it, the small
companies are either ignorant or lax,
whilst start ups and Joe public ignore it
or are completely unaware/ignorant.
Cyber criminals love it as there are many
opportunities in the space created - they
feed off the confusion using these laws to
extract the data they need.
UNWORKABLE
INNOVATION KILLING
BUSINESS LIMITING
NO SOLUTION INSIGHT
THE FUTURE IS ABOUT
SHARING & NETWORKING
ÿþ(
OBSERVED BY THE BIG
ÿþ(
ORGANISATIONS BUT OFTEN
ÿþ(
IGNORED OR NEGLECTED
BY EMPLOYEES

39. n e t w o r k e d L i v i n g
T h e r e a r e t w o b o u n d a r y s t a t e s
1 ) I s o l a t e d - h e r m i t l i v i n g / s e c l u s i o n
I n f o r m a t i o n a n d D a t a = > T i g h t l y C o n t r o l l e d
P r i v a c y a n d S e c r e c y = > C l o s e l y G u a r d e d
F r e e d o m t o c o n s o r t = > S o c i a l l y C o n t a i n e d
2 ) C o n n e c t e d - o p e n r e l a t i o n s h i p s
I n f o r m a t i o n a n d D a t a = > I n f l u e n c e & P e r s o n a l A d v a n t a g e
P r i v a c y a n d S e c r e c y = > A t a l o w b a r - b i g o n l i n e
F r e e d o m t o c o n s o r t = > H i g h c o n n e c t i v i t y o n & o f f l i n e
“ T r y i n g t o k e e p I n f o r m a t i o n & D a t a a s e c r e t i s n o w l i k e
l i k e t r y i n g t o n a i l a j e l l y t o a t r e e ”
S o c i a l
E x t r e m e

40. P a r a n o i d
T e c h n o p h o b e
i s a d v a n t a g e d
y s f u n c t i o n a l
i s c o n n e c t e d
e l u s i o n a l
D
I n t h e e x t r e m e :
- m a y b e l i v i n g a l m o s t o f f g r i d
- p r o b a b l y h a s v e r y l i m i t e d s k i l l s
- c o u l d b e d i f f i c u l t t o e m p l o y
- l i k e l y t o h a v e v e r y f e w f r i e n d s
- m a y n o t h a v e a f a m i l y
S t i l l h a s a l o t o f h i d d e n / c o n t r o l l e d d a t a :
- R e c o r d e d B i r t h + M e d i c a l R e c o r d
- S o c i a l S e c u r i t y + E m p l o y m e n t R e c o r d
- D r i v i n g L i c e n c e + Ve h i c l e R e g i s t r a t i o n
- Ve h i c l e R e g i s t r a t i o n + P u r c h a s e
- B a n k + I n s u r a n c e C r e d i t C a r d
- R e g u l a r P u r c h a s e s R e c o r d
- + + + + + +

41. M O S T AT R I S K
B l i s s f u l l y U n a w a r e
I n t h e e x t r e m e : - n o f i r e w a l l
- n o m a l w a r e p r o t e c t i o n
- p r o n e t o b e t r u s t i n g
- o u t e d O S & a p p s

42. N E T W O R K E R
Te c h n o p h i l e G a m e r
G a m e r M u l t i - P e r s o n a s
M a n y S o c i a l G r o u p s
M u l t i p l e M a c h i n e s
M a n y D e v i c e s
H i g h l y M o b i l e
O n - L i n e > 1 0 h / d a y
H o m e , Wo r k , o n
T h e M o v e i n c a r
o n f o o t
A l m o s t e v e r y t h i n g
o n l i n e , & a t s o m e
r i s k - B U T s e e s i t
a s a l l b e n e f i c i a l

43. D A T A
I t ’s S t i l l M y

44. D A T A
I t ’s S t i l l M y
YEP
BUT IT’S ALSO
YOUR CALL !
YOU have to choose
how you want to live
X% on, or o
ff
, grid!

45. M I N D S E T
D e c i d e v e r y e a r l y
Let m
e
see…
Hmm
What is reall
y
importan
t
to me ?
Family
Friends
$$$$$
O f a l l t h e c y b e r r i s k s w e h a v e
t o w o r r y a b o u t - i t i s p r o b a b l y
t h e l o s s o f …
r e p u t a t i o n
… o f t e n f o u n d t o b e t h e m o s t
d a m a g i n g & d e v a s t a t i n g f o r
I n d i v i d u a l s & o r g a n i s a t i o n s !
Upsid
e
Downside

46. A X I O M A T I C S t a t e s
Not wid ely considered but obvi ous
“ Yo u a re a t y o u r s a f e s t w h e n y o u r d a t a i s d i s p e r s e d a n d
distributed and you don’t know where it is”
“And y o u are at yo ur weakest and most risk when
your da ta is con cen tr a ted in o ne location and you
k n o w w h e re”
“Don’t worry about the banks and institutions:worry
a b o u t w h a t yo u h a ve d o n e : yo u a re b y f a r t h e
weakest link and the biggest risk”

47. C l o u d A c c o u n t S
Don’t get one, disperse/parse da ta over >3
A n d i f y o u a re P a r a n o i d : P a r s e a l l d o c u m e n t s b y t h e p a g e ,
paragraph, sentence, line, word, or letter, and similarly
e n c r y p t , b l o c k c h a i n + + +
Physically
Dispersed
F a c i l i t i e s
by Region
Te c h n o l o g y
& S u p p l i e r
Diversity a
Must!

48. R I S K F r e e ?
F u n d a m e n t a l l y i m p o s s i b l e
T h e r e i s a l w a y s a r i s k
- I t w i l l c o m e f r o m a d i r e c t i o n y o u a r e n o t l o o k i n g
- T h e f a i l m e c h a n i s m w i l l b e t h e m o s t u n e x p e c t e d
- T h e t i m i n g w i l l b e r e a l l y i n c o n v e n i e n t
- Y o u w i l l a l m o s t c e r t a i n l y s u f f e r d a m a g e
- M a k e s u r e y o u p l a n f o r t h e w o r s t c a s e
- I f y o u a r e u n s u r e ‘ s e e k h e l p ’

49. R E M E M B E R
F u n d a m e n t a l l y , t h i s i s
a b o u t s u s t a i n a b i l i t y !
I t i s h i g h l y u n l i k e l y t h a t w e c a n
r e v e r s e a l l t h e d a m a g e w e h a v e
i n f l i c t e d o n t h e p l a n e t - m o r e
l i k e l y , w e m i g h t a t t e n u a t e t h e
p r o c e s s & re c o v e r t o s o m e n e w
s t a b i l i t y p o i n t !
To d o t h i s i m p l i e s c h a n g e s
f o r a l l h u m a n s t h r o u g h I 4 . 0 ,
a n d a l l t h e t h i n g s w e m i g h t
m a n u f a c t u r e a n d u s e . O u r
e n g i n e e r i n g s u c c e s s o r f a i l
w i l l d e p e n d , a n d h i n g e , o n
o u r d a t a s y s t e m s !
T h i s i s f a r m o r e a
p o l i t i c a l , e c o n o m i c,
a n d s o c i a l p r o b l e m
t h a n t e c h n o l o g y &
e n g i n e e r i n g !

50. T h a n k Y o u
www.petercochrane.com
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d
Things that Link want to Think”