Frontiers Of Service Hodgins
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Transcript of Frontiers Of Service Hodgins
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TheTheSnowflake EffectSnowflake Effect
Way
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Unique is What We Seek!
Frontiers in Service ConferenceWestin St. Francis HotelSan Francisco, CA USA
Oct. 5, 2007
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2July 04, 2007
www.autodesk.com/waynehodgins
Wayne Hodgins
Strategic Futurist
President & Co-FounderLearnativity.org
Chair,IEEE Learning Technology Standards CommitteeLearning Object Metadata
Strategic Advisor
Strategic Advisor
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The Snowflake Effect: UNIQUE is what we seek!
• You’re a Snowflake Just like every other snowflake
• Moreover so too is every situation, every project
• If this has always been the case and is SO obvious then why do we live in a world that assumes the opposite?
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The Snowflake Effect:
The ideal is getting to “just right*”…
• Just the right CONTENT, to
• Just the right PERSON, with
• Just the right PARTNERS, at
• Just the right TIME, on
• Just the right DEVICE, in
• Just the right CONTEXT, and
• Just the right WAY ………* not to be confused with perfection!!
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Mass personalization: So What’s New?
• It’s now possible And more and more know it and are demanding it
• MC3 Mass Customization X Mass Contribution X Mass Conversation
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Scarcity
Abundance
With thanks to Chris Anderson see his blog www.longtail.com
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Anatomy of the Long Tail
Courtesy Wired magazine
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Courtesy Wired magazine
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Key Challenges• Scalability:
Global personalization @ a planetary scale eg 6.6 billion people on the planet growing exponentially)
Uniqueness is unique and infinitely so n degrees of personalization per every person, place and thing
n radio “stations” per person n-number play lists
• Sustainability Mass contribution models
• Transparency Dynamic pattern recognition and speculative computing Minimizing the direct explicit input from individuals
• Transferability Portable Feedback & Attention data Re purposing from strange sources Not “just” for content
Think about competencies for example, “just the right” people
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Key Challenges (cont’d)
• Metadata Matters: Automated metadata generation Attention metadata Context acquisition Inferred metadata & Implicit metadata acquisition
eg. The “missingness” Dr. Wedel noted)
Mood metadata Subjective vs. objective metadata
Genome projects (eg Pandor Music Genome Project
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For Questions & Comments please contact:
See “Off Course – On Target” for slides, podcasts, blogs and much
more:www.autodesk.com/
waynehodgins
Thank You!