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Its My Data Not Yours!

The document discusses the evolving role of data and technology in modern society, emphasizing the importance of utilizing personal and production data for innovation and efficiency. It presents a vision of a connected ecosystem driven by the Internet of Things (IoT), which affects telecommunications and promotes sustainable practices. Additionally, it warns of the need to preserve natural resources while adapting to new advancements in technology and societal behaviors to secure a sustainable future.

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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 !
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
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
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
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 + +
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
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
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%
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%
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%
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
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!
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!
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…
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
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
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
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
SMART HOME Body analysis for free
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!
SEGUE Drinks machines and food dispensers migrate to health advisors and body monitors!
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
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+++
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
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
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 !
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
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
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
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
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 ”
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
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 +++
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
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
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!
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.
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
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
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 - + + + + + +
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
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
D A T A I t ’s S t i l l M y
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!
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
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”
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!
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 ’
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 !
T h a n k Y o u www.petercochrane.com “Things that Think want to Lin k an d Things that Link want to Think”

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Its My Data Not Yours!

  • 1.
    D A TA Professor Peter Cochrane OB E www.petercochrane.com I t ’s M y N o t Y o u r s !
  • 2.
    A S TATE 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 TATE 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 TATE 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 TATE 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 st 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 Ap 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 LE 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 Dy 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 te 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 EM 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 OM 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 si 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 wd 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 asa 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-Systemof 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-Systemof 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 andcar-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.
  • 20.
    SEGUE When all ourdevices, 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 andfood 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 EM 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 GU 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 wM 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 wM 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 WeDone? 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 ep 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 ep 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 US 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 WAYSTREET? 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 OD 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 OD 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 US 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 US 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 Pr 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 os 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 os 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 tw 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 ra 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 ST 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 TW 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 TA I t ’s S t i l l M y
  • 44.
    D A TA 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 ND 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 IO 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 ou 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 SK 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 ME 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 an k Y o u www.petercochrane.com “Things that Think want to Lin k an d Things that Link want to Think”