what happens when data start living their own life?
DESCRIPTION
Trying to make sense of the deluge of data, and of decisions based on data.TRANSCRIPT
What happens when data start living their own life?
Daniel Kaplan [[email protected]]Charles Népote [[email protected]]
Data used to bead hoc
constructions to fill variables in
programs
Data used to bead hoc
constructions to fill variables in
programs
Siloed within programs
Inconsistent within the organization
Highly contextual
Maximized
Badly maintained
Regulated with a focus on processes
Data used to bead hoc
constructions to fill variables in
programs, until…
Data used to bead hoc
constructions to fill variables in
programs, until…
The digitization of daily life and of
the physical world
The digitization of daily life and of
the physical world
A new world of innovation and
co-opetition
A new world of innovation and
co-opetition
Natively digital content
Traces
Web of things
Location…
Captas
Open Innovation
Highly cooperative andcomplex value chains
A web of APIs and mashups
Cross-channel communications
Loosely coupledorganizations/projects/services
User-generated content
The digitization of daily life and of
the physical world
The digitization of daily life and of
the physical world
A new world of innovation and
co-opetition
A new world of innovation and
co-opetition
Data take ona life of their own
Data take ona life of their own
Pivots aroundIdentity /Services /
Data
Pivots aroundIdentity /Services /
Data
Produced « just in case »
Mixed and mashed
Infinitely re-usedin highly diverse contexts
Circulated, lent, sold
Needs data that are…… meaningful & reliable
… accessible… cheap
… consistentOpen-ended
… documented… linked
… reusable…
Data take ona life of their own
Data take ona life of their own
Pivots aroundIdentity /Services /
Data
Pivots aroundIdentity /Services /
Data
1st-order consequences
Needsinfrastructures(identity/cloud/
semantics/security…)
A delugeof data that
requires management,curation,filtering…
New possibilitiesfor [real-time]
knowledge production,analyses, decisions,
forecasting…
Data take ona life of their own
Data take ona life of their own
Pivots aroundIdentity /Services /
Data
Pivots aroundIdentity /Services /
Data
2nd-order consequences
Retaining control overalgorithmic decisions
Power shifts,Big questions
Questioning« raw » data
3 Areas for Concrete Applications
« Smart » Cities
Personal Data Open Data
The Open Data Transformation
The Advanced Version
Open Data?
Data accessible on the webMachine-readable
"Raw"Non-exclusive, non-discriminatory
licensing agreements
The Basics
Driving forces behind Open [Public] Data
EconomicEconomic InstitutionalInstitutional
TechnologicalTechnological SocietalSocietal
▋ Liberalization▋ Growth found in
service-basedinnovation
▋ "Information wantsto be free"
▋ Lack of money▋ Achieve more with
less, producenon-tax revenues
▋ Transparency &participation drive
▋ Web of data▋ Semantic web
▋ Web 2.0▋ Web of things▋ Open source▋ Datamining
▋ Dataviz
▋ Complexity▋ Demand forparticipation &empowerment
▋ Consumerism▋ Low trust in
institutions
OpenDataOpenData
A few building blocks
DataData
Mappingdata
Referencedocs
End-userinfo
"Grey"docs
Observationdata
Productiondata
Financialdata
Directorydata
ActorsActors
ITbusinesses
GovernmentLocalgovts.
Publicservices
Otherbusinesses
Research
Citizens
Media
UsesUses
RevealFacts
Produceinformation
ProvideInterfaces
Create newservices
Improveservices
OutcomesOutcomes
Improvedservices
Transparency,accountability
Efficiency,productivity
Newknowledge
Innovativeservices
Servicecoproduction
Democraticparticipation
Citizenempowerment
NGOs
<Special thanks to Tim Davies, Practical Participation>
Open Corporate Data
"Collaborative"Open Data
Challenges
Standards(& adoption)
Uses, Ecosystem
Tools, PlatformsVolume/Diversityof Open Data
Who’s Smarter in the Smart City?
What do we expect from the « Smart City »?
Efficiency
Productivity
Savings
Environment
Competitivity
Growth
Attractiveness
Quality of life
Cultural life
Services
Security
Transparency
Participation…
“Trillions of digital devices, connected through the Internet, are producing a vast ocean of data.
And all this information –from the flow of markets to the pulse of societies – can be turned into
knowledge. (…)
With this knowledge we can reducecosts, cut waste, and improve the efficiency, productivity and quality
of everything from companies to cities. (…)
Given all this low-cost technology and networking, what wouldn’t you enhance ? What wouldn’t you
connect ? What information wouldn’t you mine for insight ? What service wouldn’t you provide for a
customer, citizen, student or patient ? The answer is, we will do all these things. Because we can — and
because we must.”
IBM
1- System? System of Systems? System^^n?
2- Beyond « Service »
While "they" try to make the city smart…
3- Who becomes smart in the smart city?
The « city »?
Large urbanservices
operators?
Everybody?
Are allSmart Cities
Alike?
Risks and dangers
Misunderstandings
Soft authoritarianism
Innovation inhibition
Obsolescence
Less resilience
Shared Personal Data:Revolutionizing customer relationship
Shared Personal Data:Revolutionizing customer relationship
Personal Data Are the Lifebloodof Contemporary Marketing
They're also its poison
There Is Another Way
Let's Take Up a New Challenge:Empowering Consumers by Sharing With Them
All the Personal Data that Businesses Own About Them
"If I Know Something About You, You Know It, Too!"
Graphic:MyDex
Everyone Stands to Benefit
The New Marketfor Personal Information Management Services
Collecting, gathering, producing, storing, referencing, classifying… one's data
Sharing (or not), checking,updating one's data
Analyzing, visualizing, modelizing, comparing… one's personal data
Knowing oneself better,and acting upon it
Managing one's relationship with organizations… And with other
consumers
Comparing offers, expressing one's needs,
group buying…
This Is Much More Than a Weird Idea
AMEE / Avoco Secure / billmonitor / British Gas / Callcredit / EDF Energy / E.ON / Garlik / Google / Lloyds Banking Group / MasterCard / Moneysupermarket.com /
Mydex / npower / RBS / Scottish Power / Scottish Southern Energy / The UK Cards Association / Three /
Visa / Google…
Are You Ready to TurnCustomer Relationship on its Feet?
Experimenting consumer empowerment,through the sharing and reuse of the personal data
that organizations own about them
http://fing.org/?-MesInfos-les-donnees-personnelles-
What happens when data start living their own life?
Daniel Kaplan [[email protected]]Charles Népote [[email protected]]