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© 2010 IBM Corporation
Steven AdlerIBM Information Governance Solutions
Predictive GovernanceBig Data, Social Media, Systemic Models, and Governance
© 2010 IBM Corporation
Predictive Governance
1. Crises – Always a surprise
2. Big Data – We Anticipate the Future
3. Systems – We understand how things work
4. Predictive Governance – We take control
© 2010 IBM Corporation
When the Financial Crisis hit in October 2008
...why were its causes and effects a surprise?
© 2010 IBM Corporation
When Greece couldn't make its debt payments in 2009
...Why didn't we foresee the impact on interest rates?
© 2010 IBM Corporation
When 57% of American Farmland is ruined by Drought...
...How will that effect the global economy?
© 2010 IBM Corporation
Making Predictions is Difficult...
...When we aren't paying attention to what's happening
© 2010 IBM Corporation
Even when we are paying attention
...there is a lag between event and information
© 2010 IBM Corporation
But there are ways
To know what's happening right now,
and combine it with historical experience.
To detect evidence of dysfunction,
And monitor its development.
To predict the likelihood of crises,
And anticipate its direct and tertiary
consequences.
...And we have to do it now
© 2010 IBM Corporation
Because the world is too important
...To just keep muddling along
© 2010 IBM Corporation10101010
Extracting insight from an immense volume, variety and
velocity of data, in context, beyond what was previously
possible.
Big Data = Volume, Variety and Velocity
Manage the complexity of
multiple relational and
unstructured data types and
schemas
Streaming data and large
volume data movement
Scale from terabytes to
zettabytes
Variety:
Velocity:
Volume:
11 © 2010 IBM Corporation
Example: A Massive Earthquake in Australia...
Will have a ripple effect across South East Asia
Gold Mine
Perth
12 © 2010 IBM Corporation
In the old days, markets priced the effects...
But Today, you use Big Data to monitor the impact
13 © 2010 IBM Corporation
Combining Satellite Images
...with logistics data
We can know:
� where every ship is in port and en route
� What they carry, and their destination
� Speed and Course
� Maintenance Record and Personnel
� Buyers and Sellers
� Logistical Supply Chain
� Industrial Dependencies
� Markets and Makers
14 © 2010 IBM Corporation
Using Local Reporting of damage
...and historical data we can assess economic impact
Smartphone Images
Uploaded with geotags
Image recognition of
Damaged facilities
Compared to port data on
Goods volume per day
15 © 2010 IBM Corporation
Meanwhile Employees scour media reports
...and post articles that are indexed and researched
Each report is a
lead that a search
engine uses to find
more of the same.
Employees
comment on the
reports adding
experience and
interpretation. In
real time, you build
rich understanding
of what's
happening.
16 © 2010 IBM Corporation
They attend meetings and conferences
...and send photos, ideas, and updates
Their metadata allows you to
Perform federated search
On the meeting or conference
They attended and index the larger
Contextual information to magnify
Their experience and provide
Richer context.
17 © 2010 IBM Corporation
Your Data Governance Ontology
...allows you to validate Data Quality in Real Time
Using the same Big Data
Solutions, you tag data as it
Is analyzed, research its lineage
Verify its provenance, and assign
Obligations to its onward use.
18 © 2010 IBM Corporation
With verified data, you generate systemic models
...to simulate potential outcomes and make new plans
19 © 2010 IBM Corporation
This vision combines data from human and computer
...Sensors with Big Data Actuators
20 © 2010 IBM Corporation
Every day we are confronted with crises big and small
...that we want to master with information
© 2010 IBM Corporation
Big Data is the way to master our information
1. Business and IT
Identifyinformation sources available. 2. IT Delivers Platform
that enables creative
exploration of all available data
and content.
3. Business explores data
and relationships creating
and testing hypotheses.
4. New insights drive
integration with
traditional technology.
+
...and turn challenges into opportunities
22 © 2010 IBM Corporation
Big Data allows us to analyze anything and...
...add rich layers of context and meaning
You can tell where your information came from
- when it was last updated
- how many people touched and altered it
- what it means and how you should use it
- when you should trust it
- whether it is fact or dangerous fiction
- what it means and what it is related to
- to create ecosystems of information
23 © 2010 IBM Corporation
IBM Vision for Big Data Integration
Application Framework
StreamsComputing
Internet ScaleComputing
Analytics
ContentDiscovery
Public/PrivateCloud
© 2010 IBM Corporation
Big data is a hot topic because technology makes it possible to analyze ALL available data
Cost effectively manage and analyze all available data, in its
native form – unstructured, structured, streaming
ERPCRM RFID
Website
Network Switches
Social Media
Billing
25
Vestas optimizes capital
investments
• Model the weather to optimize
placement of turbines, maximizing
power generation and longevity.
• 3 weeks to 3hrs.
Reduce time required to identify
placement of turbine from weeks
to hours.
• 2.5 PB of structured and semi-
structured data.
Growing to 16PB 2015
Capabilities:
Hadoop System
Data Warehousing
26
Beacon Institute Detects
Environmental Changes to
Water Resources in Real-time
• Collecting and processing multiple streams of
physical, chemical, and biological data from
sensors deployed in Hudson Bay
• Sensor data is analyzed against larger
meteorological data and aggregated
• Real-time environmental data delivered in
standard format to scientists, engineers, policy
makers, and educators
Significant benefits:
• Better understanding of dynamic interactions
within local river and estuaries
• Fosters increased collaboration by making real-
world data available to outside systems,
researchers, policy makers
• Helps resource management respond more
effectively to changes to local water resources
26
Capabilities Utilized:
Stream Computing
“More effective
response to
chemical,
physical,
biological
changes”
27
TerraEchos Turns to IBM
Big Data for Low Latency
Surveillance Data Analysis
• Deployed security surveillance system to detect,
classify, locate, and track potential threats at
highly sensitive national lab
• Stream computing collects and analyzes acoustic
data from fiber-optic sensor arrays
• Analyzed acoustic data fed into TerraEchos
intelligence platform for threat detection,
classification, prediction & communication
Significant benefits:
• Enables Terraechos solution to analyze and
classify streaming acoustic data in real-time
• Provides lab & security staff with holistic view of
potential threats & non-issues
• Enables a faster and more intelligent response to
any threat
27
Capabilities Utilized:
Stream Computing
“Identifies and
classifies potential
security threats –
miles away”
28
KTH Swedish Royal Institute
of Technology Reducing
Traffic Congestion
• Deployed real-time Smarter Traffic system to
predict and improve traffic flow.
• Analyzes streaming real-time data gathered from
cameras at entry/exit to city, GPS data from taxis
and trucks, and weather information.
• Predicts best time and method to travel such as
when to leave to catch a flight at the airport
Significant benefits:
• Enables ability to analyze and predict traffic
faster and more accurately than ever before
• Provides new insight into mechanisms that affect
a complex traffic system
• Smarter, more efficient, and more
environmentally friendly traffic
28
Capabilities Utilized:
Stream Computing
Proctor & Gamble increases
employee productivity thru
improved enterprise search
Need
• Robust search and discovery system to help
employees more effectively & efficiently
leverage company data & content in more
than 30 strategic repositories
• Help employees find content they need,
people they should talk to, and places to look
for relevant info.
Benefits
• Reduced employee time spent searching for
info, increased time to make productive
connections, and enable action
Capabilities Utilized:
IBM Vivisimo Velocity
© 2010 IBM Corporation
Closing Remarks
1. Big Data will integrate all information types
2. Federated Search and Indexing
3. Automated Research and Discovery
4. Live Data Verification and Classification
5. Systemic Models and Simulations
6. All of this is available today