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Why we   metadata
+
+
Cost side
Example: BBC Question Time 23/09/2010




                                               Interactions
                                               Tweets
                                               Subtitles
                                               Segments
                                               Programme

            Data                    Metadata
Revenue side
possibilities - TV
Data                            Metadata
• Passive viewing of full       • Segmentation of content
  content                       • Many modes of discovery
• Schedule-based discovery        • Search
• Advertising targeting based     • Content-based
  on content demographics         • Personalised guides
                                  • Social context
• Content commissioned
  based on surveys and          • Highly targeted advertising
  samples                       • Commissioning/product
                                  development based on detailed data
“organize the world's information”


"give people the power to share"


“be the pulse of the planet,”


“find, play, share”
Things We Have Made
    2007           2008                                         2009                                    2010

URIplay

                                    Atlas


                   Project Purple


                                                      Amplus
                                                                                 WatchSomething
                                                                                                                    VoteUp/Gawp


           Totem
                                                                                   Project Pink
                                                                                                          Project Blue
                             Social Media Guide
                                            Project Black                                                           Project Pale



                                                               Test Tube Telly

                                                                                 Come Dine With Me Homemade          Project Red

                                                                          Project Teal Project Orange         Project Brown
2007   2008   2009   2010
realtime video
2007   2008   2009   2010
2007   2008   2009   2010
2007   2008   2009   2010
How does this metadata
fundamentally increase the
   value of the content?
Things we’re thinking about
•   Mining relevance, and value out of archives
•   Working with tastemakers

•   Seamless collection of preferences to:
    •   Re-activate users
    •   Extend journeys (inc ads)

    •   Optimise pricing
•   Joining interaction data from across disparate systems
Chris Jackson / @adrideo
              CEO - MetaBroadcast
              chris@metabroadcast.com




                              Thank you!

                                         So long, and thanks for all the pictures ):
Why we      metadata
                                         • http://www.flickr.com/photos/blahflowers/3713933900/
Presentation available at:               • http://www.flickr.com/photos/uwehermann/132244826/
                                         • http://www.flickr.com/photos/dailyinvention/497294952/
http://www.slideshare.net/simsocast
                                         Photos are used under a creative commons commercial licence

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Why we love metadata

  • 1. Why we metadata
  • 2. +
  • 3. +
  • 4. Cost side Example: BBC Question Time 23/09/2010 Interactions Tweets Subtitles Segments Programme Data Metadata
  • 5. Revenue side possibilities - TV Data Metadata • Passive viewing of full • Segmentation of content content • Many modes of discovery • Schedule-based discovery • Search • Advertising targeting based • Content-based on content demographics • Personalised guides • Social context • Content commissioned based on surveys and • Highly targeted advertising samples • Commissioning/product development based on detailed data
  • 6. “organize the world's information” "give people the power to share" “be the pulse of the planet,” “find, play, share”
  • 7. Things We Have Made 2007 2008 2009 2010 URIplay Atlas Project Purple Amplus WatchSomething VoteUp/Gawp Totem Project Pink Project Blue Social Media Guide Project Black Project Pale Test Tube Telly Come Dine With Me Homemade Project Red Project Teal Project Orange Project Brown
  • 8. 2007 2008 2009 2010
  • 10.
  • 11.
  • 12.
  • 13. 2007 2008 2009 2010
  • 14.
  • 15. 2007 2008 2009 2010
  • 16.
  • 17. 2007 2008 2009 2010
  • 18.
  • 19.
  • 20. How does this metadata fundamentally increase the value of the content?
  • 21. Things we’re thinking about • Mining relevance, and value out of archives • Working with tastemakers • Seamless collection of preferences to: • Re-activate users • Extend journeys (inc ads) • Optimise pricing • Joining interaction data from across disparate systems
  • 22. Chris Jackson / @adrideo CEO - MetaBroadcast chris@metabroadcast.com Thank you! So long, and thanks for all the pictures ): Why we metadata • http://www.flickr.com/photos/blahflowers/3713933900/ Presentation available at: • http://www.flickr.com/photos/uwehermann/132244826/ • http://www.flickr.com/photos/dailyinvention/497294952/ http://www.slideshare.net/simsocast Photos are used under a creative commons commercial licence