The Qualified Self Technologies

The Amaté platform

Prof. L. SCHLENKERDecember 1st 2014

- Preliminary Draft -

How can you use enterprise technologies for self-

improvement?

©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?

Interactions

Will our communities be looking after us, taking care, encouraging us, as well as discipline us? Joerg Blumtritt

Intro Technology CasesDomains©2014 L. SCHLENKER

©2013 L. SCHLENKER

Technologies

I. The Internet of ThingsII. Big Data, Little DataIII. Cloud ComputingIV. Open DataV. Visualisation

©2014 L. SCHLENKER

Introduction Cloud Computing

Big DataInternet of Things

Open Data

©2013 L. SCHLENKER

The Social Web

Introduction Cloud Computing

Big DataInternet of Things

Open Data

Programming the Web

• 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 Computing

Big DataInternet of Things

Open Data

©2013 L. SCHLENKER

50 milliards d’objets connectés• 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

1Source: Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012. http://singularitysummit.com/schedule

Melanie Swan

Introduction Cloud Computing

Big DataInternet of Things

Open Data

©2013 L. SCHLENKER

Cloud Computing

• 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 Computing

Big DataInternet of Things

Open Data

The Cloud as Technology

• 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 Computing

Big DataInternet of Things

Open Data

©2013 L. SCHLENKER

The quality of experience

• Solving large problems with parallel computing

• Network-based subscriptions to applications

• Offering computing 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 Computing

Big DataInternet of Things

Open Data

©2013 L. SCHLENKER

Big Data, Little Data

• 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 Computing

Big DataInternet of Things

Open Data

Non-structured data

• 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 Computing

Big DataInternet of Things

Open Data

Digital footprints

• 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 Computing

Big DataInternet of Things

Open Data

The Semantic Web

• 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 Computing

Big DataInternet of Things

Open Data

Open Data

• 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 Computing

Big DataInternet of Things

Open Data

The definition of information

• 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?

Assane, The Conversation

Introduction Cloud Computing

Big DataInternet of Things

Open Data

©2013 L. SCHLENKER

Visualization• 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 Computing

Big DataInternet of Things

Open Data