Presentation to LBi in a "Truman" session - an informal show/tell/provoke session of 22 minutes, delivered in February 2010.
Building on previous themes of marketing magic, epiphenomenology, data and the Obama-Preedy Pricing Principle, this presentation is a swift run-through of the key concepts to stimulate discussion.
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
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’
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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
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
16. Nodes Open Structured Data Business Web 2.0 Social Network Phenomena Epiphenomena ESP?
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18. “ They’re ‘doing’, not just ‘viewing’ – appropriating the digital domain
19. Augmented Reality - brands and interaction http://www.metroparisiphone.com/index_en.html
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23. How will this impact digital businesses and eCommerce?
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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.