The document discusses how emerging technologies like augmented reality, social media, and predictive analytics can impact digital businesses and e-commerce. It proposes that as the network of connected nodes grows and exchange costs decrease, the network will know more than any individual. It also introduces the concept of "profit per engagement second" as a new metric for e-commerce.

2. Number of freely connected nodes where exchange cost is near zero

3. Number of freely connected nodes where exchange cost is near zero

4. Number of freely connected nodes where exchange cost is near zero Hyperdata Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

5. Number of freely connected nodes where exchange cost is near zero Hyperdata Web2.0 Social Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ Business analysis Services Mashups Responsive and self-configuring Responsive; ‘agents’ APML Microformats

6. When the network knows more than anyone

7. Number of freely connected nodes where exchange cost is near zero When the network knows more than anyone Hyperdata Web2.0 Social Network Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ Business analysis Services Mashups Responsive and self-configuring Responsive; ‘agents’

9. 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

10. Hypodata

11. “ Brain Scanners can predict a decision up to 10 seconds before a person is aware of making that decision” Nature Neuroscience, April 2008 Hypodata

12. “ 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=1125451.1125655 via http://liftlab.com/think/nova/2006/06/09/wearable-gaze- detector-in-the-form-of-headphones/ Hypodata

13. Hypodata - MIT’s “Sixth Sense” http://www.flickr.com/photos/whiteafrican/3253881037/ Pattie Maes’s TED talk on MIT’s “Sixth Sense”: http://www.youtube.com/watch?v=blBohrmyo-I Mashups Responsive and self-configuring Responsive; ‘agents’

15. Any sufficiently advanced technology is indistinguishable from magic

16. Nodes Open Structured Data Business Web 2.0 Social Network Phenomena Epiphenomena ESP?

18. “ They’re ‘doing’, not just ‘viewing’ – appropriating the digital domain

19. Augmented Reality - brands and interaction http://www.metroparisiphone.com/index_en.html

23. How will this impact digital businesses and eCommerce?

28. Performance With thanks to Michael Ross, eCommera. Bad analogy is not his responsibility though... KPI type What Example Volume Feed the machine Site visitors, viewers Margin Extract maximum nutrients. Chew well. Profit per visit, per session, per episode Minimise waste Don’t dribble; don’t leave the stalks Minimise out-of-stock visits Return on capital employed Calories in > effort to eat. ie “no salad” ;) Return on inventory, return on equipment, return on staff Retention Eat again, more easily (remember the potato patch) Customer satisfaction, order frequency, churn.

29. eCommerce metric Sales/Square foot?

30. eCommerce metric π/εs

31. π/εs Profit per engagement second. http://www.internetretailing.net/news/editorial-video-on-profit-per-pixel-second

33. π/εs Profit per engagement second. http://www.internetretailing.net/news/editorial-video-on-profit-per-pixel-second