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The Future of Business Intelligence

                                                 Tim Oā€™Reilly

                                                April 12, 2010




Monday, April 19, 2010
ā€œMajor Strasser has been shot...
        Round up the usual suspectsā€




Monday, April 19, 2010
Monday, April 19, 2010
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Business Intelligence   Web 2.0   Cloud Computing

        ā€œYou keep using that word. I do not think it
        means what you think it means.ā€




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You may think of me as a book publisher




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Monday, April 19, 2010
Monday, April 19, 2010
What We Really Do At O'Reilly




                         Change the world by spreading the
                             knowledge of innovators




Monday, April 19, 2010
ā€œIā€™m an inventor.
                          I became interested in
                          long term trends
                          because an invention
                          has to make sense in the
                          world in which it is
                          finished, not the world in
                          which it is started.ā€
                                      -Ray Kurzweil




Monday, April 19, 2010
Monday, April 19, 2010
Oā€™Reilly Radar Methodology
   ļ‚§ ā€œThe future is here. Itā€™s just not evenly distributed
     yet.ā€ - William Gibson
   ļ‚§ We ā€œwatch the alpha geeksā€ and think about the
     futures they are living in
   ļ‚§ We then look for trend data that tells us that a
     particular future is becoming mainstream

   ļ‚§ Iā€™m going to tell you some seemingly unconnected
     technology stories from the front lines of
     innovation. Then weā€™re going to connect the dots.




Monday, April 19, 2010
<1>




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Monday, April 19, 2010
ļ‚§ Hackers play
   ļ‚§ Entrepreneurs build products for consumer early
     adopters
   ļ‚§ Enterprises follow

   ļ‚§ We saw this with the PC, with the World Wide Web,
     with open source software, with social networking




Monday, April 19, 2010
The cloud future includes...
   ļ‚§ Devices acting as sensors for intelligent data
     collection
   ļ‚§ Devices whose UI is on the web rather than the
     device
   ļ‚§ Feeding data into multiple online services that will
     turn into a full-on sensor web
   ļ‚§ Setting the stage for robotics, augmented reality,
     and the next generation of personal electronics
   ļ‚§ Providing ā€œpersonal business intelligenceā€ (aka
     ā€œQuantified Selfā€)




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<2>




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Monday, April 19, 2010
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What we see here
   ļ‚§ Peer-to-peer credit card payments
   ļ‚§ Social networks used for risk evaluation

   ļ‚§ The PC is out of the loop
   ļ‚§ The phone is a sensor platform
          ā€“ Hardware add-on innovation
          ā€“ Location based sensing
          ā€“ Touch screen UI
   ļ‚§ Processing is done in real time in the cloud
          ā€“ Allowing processing that canā€™t be done on the device
          ā€“ Big data analysis
          ā€“ Building new networks on the back of existing ones
   ļ‚§ Reinventing a major industry


Monday, April 19, 2010
<3>




Monday, April 19, 2010
The smart phone plus local search. Today pizza,




                              Little Caesarā€™s, 3900 Las Great Blvd South
                              Round Table Pizza, 4300 VegasAmerica Parkway
                              Anthonyā€™s NY Fired, 3569 Las Vegas Expwy
                              Giovanniā€™sCoalPizzeria 1127 Lawrence Blvd South
                              Trattoria del Lupo, 3950 Las Vegas Blvd South
                              Little Caesarā€™s Pizza, 4767 Lafayette Street




Monday, April 19, 2010
An application running on a
                mobile device whose user
                interface is driven by sensors:

                - Touch screen
                - Motion and proximity sensors
                - Microphone
                - GPS or cell tower triangulation



Monday, April 19, 2010
An application that depends on
                 cooperating cloud data services:

                 - Speech recognition
                 - Search
                 - Location data




Monday, April 19, 2010
An application that applies
                 context-sensitive filters to give
                 users just the information they
                 need.




Monday, April 19, 2010
In real time




Monday, April 19, 2010
<4>




Monday, April 19, 2010
The Yelp Monocle
   ļ‚§ Find cafes nearby.




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Monday, April 19, 2010
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<5>




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Crowdsourcing includes the use of
                               humans as sensors




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AMEE - the worldā€™s energy meter




Monday, April 19, 2010
Weā€™re moving to a world in which every device
        generates useful data, in which every action
        creates ā€œinformation shadowsā€ on the net.




Monday, April 19, 2010
<6>




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Monday, April 19, 2010
Monday, April 19, 2010
ļ‚§ GoodData here




Monday, April 19, 2010
Monday, April 19, 2010
<7>




Monday, April 19, 2010
Monday, April 19, 2010
ā€¢Search in plain English
                         ā€¢Search by voice
                         ā€¢Traffic view
                         ā€¢Search along route
                         ā€¢Satellite view
                         ā€¢Street view




Monday, April 19, 2010
An application that
                 depends on cooperating
                 cloud data services:

                 - Location
                 - Search
                 - Speech recognition
                 - Live Traffic
                 - Imagery

Monday, April 19, 2010
Business Intelligence   Web 2.0   Cloud Computing

        ā€œYou keep using that word. I do not think it
        means what you think it means.ā€




Monday, April 19, 2010
Monday, April 19, 2010
The Internet Operating System is
                      A Data Operating System




Monday, April 19, 2010
The Internet Operating System is a Data Operating System
   ļ‚§ It helps applications find out about
          ā€“   People
          ā€“   Places
          ā€“   Things
          ā€“   Prices
          ā€“   Documents
          ā€“   Images
          ā€“   Sounds
          ā€“   Relationships
          ā€“   ...

   ļ‚§ and helps people interact with them through services
          ā€“   Search
          ā€“   Payment
          ā€“   Matching and Recognition
          ā€“   ...

Monday, April 19, 2010
In Real Time




Monday, April 19, 2010
Monday, April 19, 2010
Monday, April 19, 2010
And thatā€™s why
                         Business Intelligence as we knew it
                                       is dead




Monday, April 19, 2010
Weā€™re moving from a world in which analysts and
        executives study data and make decisions to a
        world in which analysts study data and rewrite
        algorithms that make decisions.




Monday, April 19, 2010
Monday, April 19, 2010
Monday, April 19, 2010
ā€œWe donā€™t have better algorithms than anyone
        else. We just have more data.ā€

                         --Peter Norvig, Chief Scientist, Google




Monday, April 19, 2010
Or do they?
   ļ‚§ Thereā€™s a lot of data in the world




Monday, April 19, 2010
Why syndicated data - and a platform that
          supports business rules for sharing - is essential




Monday, April 19, 2010
Monday, April 19, 2010
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Monday, April 19, 2010
Monday, April 19, 2010
Monday, April 19, 2010
Monday, April 19, 2010
Interoperable web services, open data, and
        standard protocols are at least as important as
        open source




Monday, April 19, 2010
Thatā€™s Why Greenplum Chorus is important




Monday, April 19, 2010
Monday, April 19, 2010
ļ‚§ another simplegeo slide (or is that the right co?)




Monday, April 19, 2010
Monday, April 19, 2010
Switching tracks (a bit)...




Monday, April 19, 2010
Monday, April 19, 2010
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Monday, April 19, 2010
Open Source and Scientific Data
     ā€œWith the very pressing issue of climate change, releasing raw data is vital.
  There can be no excuse not to. Releasing source code is optional, truly
  great for open source review - but very dangerous if everyone just re-runs
  the same code with the same baked-in implicit and explicit assumptions and
  errors.

  In discussion with our Chief Scientist, we have agreed it's much better to
  publish the following:

  Ā Ā - the raw data and the circumstances of its collection
  Ā Ā - the method and assumptions used to process the data (in words and
  Ā Ā equations)
  Ā Ā - the results of the processing
  Ā Ā - the known limitations on the method and signiļ¬cance of the assumptions

  The computer code should be written from scratch as many times as possible
  to reduce the chance that it affected the results in any way.ā€

                                                        --Gavin Starks, CEO, AMEE




Monday, April 19, 2010
Monday, April 19, 2010
Monday, April 19, 2010
Monday, April 19, 2010
For more information
  ļ‚§ The Open Source Paradigm Shift (2003)
    http://bit.ly/cKLSUP
  ļ‚§ What is Web 2.0? (2005)
    http://oreil.ly/a0zT65
  ļ‚§ Web Squared: Web 2.0 Five Years On (2009)
    http://bit.ly/kEKgs
  ļ‚§ Government as a Platform (2010)
    http://opengovernment.labs.oreilly.com/
  ļ‚§ Ongoing commentary
    http://radar.oreilly.com
    http://twitter.com/timoreilly
    http://buzz.google.com/timoreilly


Monday, April 19, 2010

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