Another version of my talk about the state of the Internet Operating System, but this one focused on how it will affect business intelligence. Given at Greenplum Days in Las Vegas, held in conjunction with the Gartner BI Summit.
14. What We Really Do At O'Reilly
Change the world by spreading the
knowledge of innovators
Monday, April 19, 2010
15. “I’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.”
-Ray Kurzweil
Monday, April 19, 2010
17. O’Reilly Radar Methodology
“The future is here. It’s just not evenly distributed
yet.” - William Gibson
We “watch the alpha geeks” and think about the
futures they are living in
We then look for trend data that tells us that a
particular future is becoming mainstream
I’m going to tell you some seemingly unconnected
technology stories from the front lines of
innovation. Then we’re going to connect the dots.
Monday, April 19, 2010
27. Hackers play
Entrepreneurs build products for consumer early
adopters
Enterprises follow
We saw this with the PC, with the World Wide Web,
with open source software, with social networking
Monday, April 19, 2010
28. The cloud future includes...
Devices acting as sensors for intelligent data
collection
Devices whose UI is on the web rather than the
device
Feeding data into multiple online services that will
turn into a full-on sensor web
Setting the stage for robotics, augmented reality,
and the next generation of personal electronics
Providing “personal business intelligence” (aka
“Quantified Self”)
Monday, April 19, 2010
32. What we see here
Peer-to-peer credit card payments
Social networks used for risk evaluation
The PC is out of the loop
The phone is a sensor platform
– Hardware add-on innovation
– Location based sensing
– Touch screen UI
Processing is done in real time in the cloud
– Allowing processing that can’t be done on the device
– Big data analysis
– Building new networks on the back of existing ones
Reinventing a major industry
Monday, April 19, 2010
34. The smart phone plus local search. Today pizza,
Little Caesar’s, 3900 Las Great Blvd South
Round Table Pizza, 4300 VegasAmerica Parkway
Anthony’s NY Fired, 3569 Las Vegas Expwy
Giovanni’sCoalPizzeria 1127 Lawrence Blvd South
Trattoria del Lupo, 3950 Las Vegas Blvd South
Little Caesar’s Pizza, 4767 Lafayette Street
Monday, April 19, 2010
35. 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
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36. An application that depends on
cooperating cloud data services:
- Speech recognition
- Search
- Location data
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37. An application that applies
context-sensitive filters to give
users just the information they
need.
Monday, April 19, 2010
50. AMEE - the world’s energy meter
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51. We’re moving to a world in which every device
generates useful data, in which every action
creates “information shadows” on the net.
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59. •Search in plain English
•Search by voice
•Traffic view
•Search along route
•Satellite view
•Street view
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60. An application that
depends on cooperating
cloud data services:
- Location
- Search
- Speech recognition
- Live Traffic
- Imagery
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61. Business Intelligence Web 2.0 Cloud Computing
“You keep using that word. I do not think it
means what you think it means.”
Monday, April 19, 2010
64. The Internet Operating System is a Data Operating System
It helps applications find out about
– People
– Places
– Things
– Prices
– Documents
– Images
– Sounds
– Relationships
– ...
and helps people interact with them through services
– Search
– Payment
– Matching and Recognition
– ...
Monday, April 19, 2010
68. And that’s why
Business Intelligence as we knew it
is dead
Monday, April 19, 2010
69. We’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
96. Open Source and Scientific Data
“With 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:
- the raw data and the circumstances of its collection
- the method and assumptions used to process the data (in words and
equations)
- the results of the processing
- the known limitations on the method and significance 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.”
--Gavin Starks, CEO, AMEE
Monday, April 19, 2010
100. For more information
The Open Source Paradigm Shift (2003)
http://bit.ly/cKLSUP
What is Web 2.0? (2005)
http://oreil.ly/a0zT65
Web Squared: Web 2.0 Five Years On (2009)
http://bit.ly/kEKgs
Government as a Platform (2010)
http://opengovernment.labs.oreilly.com/
Ongoing commentary
http://radar.oreilly.com
http://twitter.com/timoreilly
http://buzz.google.com/timoreilly
Monday, April 19, 2010