1. - Preliminary Draft -
The Qualified Self
Technologies
The Amaté platform
Prof. L. SCHLENKER
December 1st 2014
How can you use enterprise
technologies for self-improvement?

2. ©2013 L. SCHLENKER
• Using data for personal meaning
challenge our ideas about human
connection
• Social networks like Facebook and
Twitter transform our social
interactions into quantifiable data
streams
• Social Graph - interactions
between people in a social network
• Is it possible to track emotions,
passions and memories?
• Could QS help us live together in a
sustainable way?
Will our communities be looking after us,
taking care, encouraging us, as well as discipline us?
Joerg Blumtritt
Intro Domains Technology Cases
©2014 L. SCHLENKER

3. ©2013 L. SCHLENKER
I. The Internet of Things
II. Big Data, Little Data
III. Cloud Computing
IV. Open Data
V. Visualisation
©2014 L. SCHLENKER
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

4. ©2013 L. SCHLENKER
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

5. • Pages Web statiques
(HTML)
• Des applications
réelles(Pages Web
dynamiques, ASP, JSP,
PHP, ...)
• Les Web services
(basés sur XML)
The Web is Reborn
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

6. ©2013 L. SCHLENKER
•The Internet of things: Physical
objects linked by the Internet
that interact through web
services
•Usual gadgetry (e.g.;
smartphones, tablets) and now
everyday objects: cars, food,
clothing, appliances, materials,
parts, buildings, roads
•Embedded microprocessors in
5% human-constructed objects
(2012)1
Melanie Swan
1Source: Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012.
http://singularitysummit.com/schedule
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

7. ©2013 L. SCHLENKER
• Computing as service rather than a
product
• Focuses on maximizing shared resources
• Public, private or hybrid
• Infrastructure as a service (IaaS)
• Platform as a service (PaaS)
• Software as a service (SaaS)
©2014 L. SCHLENKER
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

8. • The Cloud has a 70 year history
• The early days were all about
building a legacy (system)
• Technologies matured – leading
to standardization
• The inevitable result –
commodities like the Cloud
Simon Wardley
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

9. ©2013 L. SCHLENKER
• Solving large
problems with
parallel computing
• Network-based
subscriptions to
• Offering computing applications
resources as a
metered service
• Anytime, anywhere
access to IT
resources delivered
dynamically as a
service.
Software as a Service
Utility Computing
Cloud Computing
Grid Computing
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

10. ©2013 L. SCHLENKER
• Examples
•Walmart : 1 million transactions/hr
•BBC: 7 PB video served/month
• Big Data definition: data sets on social
interactions that are too complex for
traditional DBMS (volume, velocity, variety)
• Little Data : data sets on individual rather
collective behavior
• Structured and unstructured data
Source: Mary Meeker, Internet Trends,
©2014 L. SCHLENKER
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

11. • Data is considered « non-structured » if we can’t
predefine its attributes and store it in a table or data
base
• Examples of this kind of data include press
clippings, videoclips, and songs
• In reality, this data isn’t « non-structured » - its just
that its attributes involve « complex » relationships
http://ean.marie.gouarne.online.fr/bi.html
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

12. • Before the Web we assumed that our
digital footprint was as ephemeral as a
phone
• Clickstreams can provide a level of
intelligence about how people use the
Web
• We have yet to aggregate the critical
mass of clickstreams in a database of
intentions
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

13. • The Web is owned by no-one and used by
everyone.
• The telephone, your dog, your kid are all part of
the network
• Tracking to build a real-time profile of your
interests
• Recovery is everywhere you’ve been before,
discovery is everything you may wish to find, but
have yet to encounter.
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

14. • The idea that certain data should
be freely available to everyone to
use
• Facts cannot legally be
copyrighted, but aggregated data
can be privately owned.
• Journal publication is an implicit
release of the data to the
Commons
• Midata, the UK government’s
initiative to give consumers
access to data about them that is
held by brands
Anja Jentzsch
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

15. Assane, The Conversation
• We could suggest that it’s the individual’s
perspective of the data that implies
meaning.
• Given these definitions what meaning do
Wikileaks, Facebook or Whatapp have?
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data

16. ©2013 L. SCHLENKER
• Study of abstract data to
improve human cognition
• Lévi-Strauss – the world has
become so complex that we
must “simplify it” to understand
it
•Goal of data visualization is to
communicate information
clearly and efficiently
• Visualization is today a critical
component in scientific
research, data mining, finance,
and market studies
©2014 L. SCHLENKER
Introduction Cloud
Internet of Big Data
Things
Computing
Open Data