Enterprise 2.0: turning consumer-driven Web 2.0 technologies into business value, Qi Lu,Yahoo

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Enterprise 2.0: turning consumer-driven Web 2.0 technologies into business value, Qi Lu,Yahoo - Presentation Transcript

  1. Unleashing the Power of Collective Intelligence NASSCOM 2008 Mumbai, India
  2. Agenda
    • From Web 2.0 to Enterprise 2.0
    • SLATES in Actions
      • Flickr
      • Search & Social Search
    • Enabling technologies
    • Emerging opportunities
  3. User Generated Content Social Network Wisdom of Crowds Architecture of Participation The Web 2.0 trends on the consumer Internet…
  4. Web 2.0 Consumer Dynamics 1 creators 10 synthesizers 100 consumers 2 creators 4 synthesizers 8 consumers Moving beyond “users”…
  5. Web 2.0 Consumer Dynamics 100% creators 100% synthesizers 100% consumers
  6. Happenstance artistes…
    • Anyone with a ________ is now a ________
    keyboard camera iPod browser author photographer deejay publisher
  7. Enterprise 2.0
    • The SLATES platform
      • Search
      • Links
      • Authoring
      • Tags
      • Extensions
      • Signals
    • Business value driver:
      • harnessing collective intelligence
  8. Flickr: A Pictorial view of SLATES in Acton
  9. What makes Flickr special? 1. User Generated Content Content not licensed from providers such as Corbis or Getty, but rather contributed by users.
  10. What makes Flickr special? 2. User Organized Content Content is tagged, described, organized, discovered, etc. not by “editors” but by the users themselves.
  11. What makes Flickr special? 3. User Distributed Content Flickr achieved distribution across the internet, not through “business deals” per se, but rather through the Flickr community which distributed Flickr content on 3 rd -party blogs.
  12. What makes Flickr special? 4. User Developed Functionality Flickr exposed APIs (PHP, Perl, etc.) that allowed the community of developers to build against the Flickr platform.
  13. What drives values in Flickr
    • SLATES in actions
      • Search: the nexus that ties everything together
      • Authoring: ride the wave of ubiquitous of digital camera
      • Links: groups and social networks
      • Tags:
        • Enabling text search
        • Geo tagging: the eyes of the world
      • Extension
        • Interestingness algorithm
        • Scalable publication platform
      • Signals: photo streams
  14. Socialization of search: a historical view of SLATES in Search Alpha Chip Surfers Enabling Technologies Right Incentives Critical Mass Thousands of Newsgroups Millions of Web Sites Trillions of Knowledge Artifacts Usenet / Newsgroups Google / Inktomi Y! Answers / Delicious Y! Directory / Altavista Tens of Billions of Web Docs Link-Based Algorithms Infrastructure Scale  Webmasters     <A>  Engineers & Scientists        Users Source Technology Magnitude Product
  15. Better Search through People: The Yahoo! Answers example
  16. Knowledge Search, 2003 in Korea
  17. Amazing user adoption…
  18. Taiwan design
  19. US design
  20. India Design
  21. Where will this lead? DJ’s ask for Answers as part of their show programming Professionals quote Answers levels as credentials Level 6 – Home & Garden Celebs, thought leaders, give out urls for more on their views & knowledge 7 Local listings contain answers level credentials Pop culture mentions Answers frequently and in the context of broader issues – not as a promotion Answers becomes the epicenter of social debate and fact exchange around key issues & political events
  22. Better search through people: The del.icio.us example
  23. Social bookmarks
  24. Organizing the best of the web
  25. Keep up to date on what your network finds interesting
  26. What drives values
    • Harnessing the collective intelligence
      • Capture
        • Original content
        • Meta data
      • Organize
        • Computationally discern quality, topic aboutness, …
      • Access
        • Seek
        • Discover
  27. Enabling technologies
    • Tables takes
      • Web-based applications
      • Back-end services
      • Text search engines
    • Secret sauce
      • Data and metadata
      • Modeling techniques
      • Large scale data-driven pattern discovery
  28. Emerging opportunities
    • New development approaches
      • Systems and applications
      • Metrics and analytics
      • Modeling techniques (algorithms, data mining….)
      • Editorial operations
    • New computing paradigm
      • DISC
        • Open source grid computing, e.g., Hadoop
    • Potential new vendor business opportunities
      • Software
      • Services
      • And beyond: e.g. partnership in joint discovery, R&D, ….
  29. Thank You!
    • Qi Lu
    • Yahoo! Inc
    • [email_address]
  30.  

+ nasscomnasscom, 2 years ago

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