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Quantified intro

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Quantified intro

  1. 1. - Preliminary Draft - The Qualified Self Introduction The Amaté platform Prof. L. SCHLENKER December 1st 2014 How can you use enterprise technologies for self-improvement?
  2. 2. ©2013 L. SCHLENKER •I work with senior managers to leverage networks, processes and technology to enhance individual and corporate performance. • The client portfolio in the ICT industry includes Microsoft, Apple, Ernst & Young, France Telecom, HP, IBM, Oracle and SAP . •The work with the IT industry in Europe has included fifty partner and customer conferences, a dozen case studies, and various marketing support activities. Prof. Lee SCHLENKER, Professeur ESC Pau- EMLYON Managing Director, LHST Web : www.leeschlenker.com Intro Domains Technology Cases
  3. 3. The Quantified Self Intro Domains Technology Cases ©2014 L. SCHLENKER
  4. 4. http://qualifyrself.com/ • Course slides • Recommended reading • Course deliverables • Student input Intro Domains Technology Cases
  5. 5. ©2013 L. SCHLENKER At the end of this course, you will be able to : • Explain (en anglais…) the notions of quantified and qualified self • Analyse the value proposition of the corresponding technologies • Master the fundamentals of business story telling • Produce a video case study of the quantified self Intro Perception Modeling Construction
  6. 6.  Active participation – 20 percent  A story board – 20 percent  A video case study – 60 percent Intro Domains Technology Cases
  7. 7. The author suggests that the "Quantified Self" movement is about self knowledge. What does he want to know about himself? Describe one of the applications described in the article (audience, data sources, interface, use scenarios, observations). The article points out the fallacy of "magical thinking". What does this mean and how does this this apply to the Quantified Self? The article concludes that the goal isn't to do more work, but to do better work. What does this mean to you? Richard J. Anderson Intro Domains Technology Cases ©2014 L. SCHLENKER
  8. 8. 1.Context 2.Hero 3.Roadmap 4.Happy end? © DSign4.Education Intro Domains Technology Cases
  9. 9. A propos : Objectifs : Défis : Passions : Name :
  10. 10. A propos : Objectifs : Défis : Passions : Name :
  11. 11. Focus Improve Knowledge Leverage Measure • What does self-knowlege mean? • What are you trying to improve? • What do you need to learn? • What does better mean? • How do you measure success? What Morgan called « the management of meaning » Intro Domains Technology Cases ©2010 LHST sarl
  12. 12. Intro Domains Technology Cases ©2014 L. SCHLENKER
  13. 13. ©2013 L. SCHLENKER Results Actions Knowledge Context Data Measures Decisions Interprets Process Drive Require Define Obtain The ladder of initiatives™ Intro Domains Technology Cases
  14. 14. ©2013 L. SCHLENKER I. Inputs II. States III. Performance IV. Self-knowledge http://intranet-matters. de/resources/intranet-maturity-models/ Intro Domains Technology Cases ©2014 L. SCHLENKER
  15. 15. ©2013 L. SCHLENKER •Your search history •Your search trends •Your contacts •Your location •Your interests and demographics www.google.com/dashboard ©2014 L. SCHLENKER Intro Domains Technology Cases
  16. 16. ©2013 L. SCHLENKER • Self –knowledge – what am I like? • Cognitive, affective, executive self • Physical, social and physiological worlds • Impact on how experience is encoded Intro Domains Technology Cases ©2014 L. SCHLENKER
  17. 17. ©2013 L. SCHLENKER • It’s not reality that augmented, it’s our Self • With 200 million e-mails and 72 hours of video posted every minute – we’ve created a parallel, digital universe • This digital mirror is becoming more real than reality •Building this mirror of our beliefs, motivations and objectives is becoming a critical business challenge Intro Domains Technology Cases ©2014 L. SCHLENKER M. FOUQUET & G. COURSIN
  18. 18. • The mechanical clock • Harder, better, faster… • Mechanized productivity • Knowledge productivity • Continuous Productivity Intro Domains Technology Cases ©2014 L. SCHLENKER
  19. 19. ©2013 L. SCHLENKER • Transforms your bike into a mobile sensing unit • Developed by the SENSEable City Lab du MIT and the City of Copenhagen • Unlock and lock your bike, change gears and select how much the motor assists you • Captures your energy and restores it given your cycling rhythm http://youtu.be/S10GMfG2NMY Intro Domains Technology Cases
  20. 20. ©2013 L. SCHLENKER • In the near future, the universe is made of numbers • Eugenics is common practice • Gametes are scientifically selected • Only one metric – genetic perfection ! • Traffic of personal data • Does the « quantified self » = the « l’exposed self » Tuttiquanti http://youtu.be/7u3RrbNpRUQ Intro Domains Technology Cases ©2014 L. SCHLENKER

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