What happens when data start living their own life?

What happens when data start living their own life?

Daniel Kaplan [dkaplan@fing.org]Charles Népote [cnepote@fing.org]

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 [dkaplan@fing.org]Charles Népote [cnepote@fing.org]