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Frontiers Of Service Hodgins

From WayneH, 2 years ago

Slides from my brief presentation on the SnowFlake Effect of mass more

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Slide 1: The Snowflake Effect Wayne Hodgins Frontiers in Service Conference Westin St. Francis Hotel San Francisco, CA USA Oct. 5, 2007 Unique is What We Seek! 1

Slide 2: President & Co-Founder 0 Learnativity.org Chair, Wayne IEEE Learning Technology Standards Committee Learning Object Metadata Hodgins Strategic sor dvi Futurist A gic ate Str wayne.hodgins@autodesk.com www.autodesk.com/waynehodgins July 04, 2007 2

Slide 3: The Snowflake Effect: UNIQUE is what we seek! • You’re a Snowflake Wayne Hodgins 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? 3

Slide 4: The Snowflake Effect: The ideal is getting to “just right*”… Wayne Hodgins • 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!! 4

Slide 5: Mass personalization: So What’s New? • It’s now possible Wayne Hodgins And more and more know it and are demanding it  • MC3 Mass Customization  X Mass Contribution  X Mass Conversation  5

Slide 6: Wayne Hodgins Scarcity Abundance With thanks to Chris Anderson see his blog www.longtail.com 6

Slide 7: Anatomy of the Long Tail Wayne Hodgins Courtesy Wired magazine 7

Slide 8: Wayne Hodgins Courtesy Wired magazine 8

Slide 9: Key Challenges • Scalability: Global personalization @ a planetary scale  eg 6.6 billion people on the planet growing exponentially)  Wayne Hodgins 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  9

Slide 10: Key Challenges (cont’d) • Metadata Matters: Wayne Hodgins 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  10

Slide 11: Thank You! Wayne Hodgins For Questions & Comments please contact: wayne.hodgins@autodesk.com See “Off Course – On Target” for slides, podcasts, blogs and much more: www.autodesk.com/waynehodgins 11