Post on 30-Oct-2014
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3. Framework for data, networks and epiphenomenology 4. Data: Not where youd expect to start in fashion! Number of freely connected nodes where exchange cost is near zero Hyperdata Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 5. Data Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; agents APML Microformats Hyperdata Web2.0 Social Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 6. Data
7. Data 8. Data Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; agents APML Microformats Hyperdata Web2.0 Social Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 9. When the network knows more than anyone 10. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; agents When the network knows more than anyone Hyperdata Web2.0 Social Network Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 11. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; agents When the network knows more than anyone Hyperdata Web2.0 Social Network Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 12.
When the network knows more than anyone 13. Number of freely connected nodes where exchange cost is near zero When the network knows more than anyone Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ Business analysis Services Mashups Responsive and self-configuring Responsive; agents Predictive 14. Predictive? You must need hypodata! 15. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; agents Predictive Hypodata Brain Scanners can predict a decision up to 10 seconds before a person is aware of making that decision Nature Neuroscience, April 2008 Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 16. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; agents Predictive Hypodata - MITs Sixth Sense http://www.flickr.com/photos/whiteafrican/3253881037/ Pattie Maess TED talk on MITs Sixth Sense: http://www.youtube.com/watch?v=blBohrmyo-I Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 17. ABSTRACTA headphone-type gaze detector for a full-time wearable interface is proposed. It uses a Kalman filter to analyze multiple channels of EOG signals measured at the locations of headphone cushions to estimate gaze direction. Evaluations show that the average estimation error is 4.4 (horizontal) and 8.3 (vertical), and that the drift is suppressed to the same level as in ordinary EOG. The method is especially robust against signal anomalies. Selecting a real object from among many surrounding ones is one possible application of this headphone gaze detector. http://portal.acm.org/citation.cfm?doid=1125451.1125655viahttp://liftlab.com/think/nova/2006/06/09/wearable-gaze- detector-in-the-form-of-headphones/ Hypodata - mashed up 18. But what about hyperdata? 19. Hyperdata: Location-specific Plus gestures, image processing, bio-input... (heartbeat? Match.com?...). 20. Any sufficiently advanced technology is indistinguishable from magic 21. The Gamut of data Number of freely connected nodes where exchange cost is near zero Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ 22. Any sufficiently advanced technology is indistinguishable from magic Nodes Open Structured Data Business Web 2.0 Social Network Phenomena ESP? Epiphenomena 23. Enabling epiphenomenology: device integration
24. Bringing data alive PlazeMarks2D codesNeat, but very now 25. Augmented Reality... Layar.eu - overlay realtor data on street scenes 26. Augmented Reality 27. Augmented Reality - brands and interaction http://www.metroparisiphone.com/index_en.html 28. The Outernet Marking and spraying http://www.junaio.com /
29. Augmented Reality University of Washington, 2008:http://uwnews.org/article.asp?Search=contact+lens&articleid=39094
30. How will this impact retail and eCommerce? 31. Basic level - it already does.
32. Shopping: present, yet elsewhere 33. Elswhere, yet present
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Yesterdays future looks more prescient 35.
Yesterdays future looks more prescient 36. Challenges 37.
Whats the point of a store? 38.
Whats the point of a store? 39. Obama-Preedy Pricing Principle Its been a long time coming, but tonight, because of what we did1. on this day,2. in this election,3. at this defining moment Change has come to America President-Elect Obama, Victory Speech, November 2008 http://news.bbc.co.uk/1/hi/world/americas/7434843.stm 40. Obama-Preedy Pricing Principle
41. Obama-Preedy Pricing Principle
42. Taking aim 43. Taking aim - retails new realities
44. Thank you "The Future of Internet Retailing: considerations for fashion (r)etailing" London College of Fashion London, October 2009 www.ianjindal.com www.internetretailing.net