Citizens are placing increasing demands on governments to innovate and provide services more efficiently. The document outlines lessons learned from over 2,000 smart government projects that show what is possible through capturing data, coordinating resources, and anticipating problems. Examples include using data analytics to reduce crime rates and optimize maintenance schedules. The key is moving beyond individual departments to a holistic smart government approach that engages citizens.

1. Seeing the meaning – what’s
possible in a Smarter Government!
Rudi Loepp, Smarter Government Solutions Executive
rloepp@ca.ibm.com
© 2011 IBM Corporation

2. Citizens are placing increasing demands on leaders to innovate
Evolution of Government Value
Citizens Security Convenience Opportunity Prosperity
Demand
Time
Leaders Walls, Water, Jobs, Lifestyle,
Deliver Roads Energy Education Culture
© 2011 IBM Corporation

3. Innovative leaders create opportunities from today’s harsh realities
Sustainability
Investment
Innovation Community
Declining Increasing
Budgets Threats
Aging Changing
Infrastructure Populations
© 2011 IBM Corporation

4. From over 2,000 projects with cities of all sizes, there are lessons to
learn
Predictive analytics In Delft,
Smart metering in helped slash Data analytics developing enhanced
Malta helps Richmond’s helped cut crime flood prediction and
citizens pay only crime rate by protection systems
for the energy
35% in NYC
they use 40% for coastal areas and
river deltas
in one year
In downtown Stockholm
In Taiwan, smart traffic systems helped Peak energy
reduce gridlock by loads fell by 15%
99% Miami-Dade
County Public
20% when IBM helped
Schools have homes in the Pacific
of smarter IBM helps Amsterdam Airport
increased Northwest talk
trains run
on time academic
Schiphol move 20 million straight to the grid
achievement more bags every year with a
across the board smarter baggage system
© 2011 IBM Corporation

5. These lessons show us what’s possible: being smarter around the services that you
deliver by…
Capturing information
to make better Anticipating problems
decisions to resolve them
proactively
Coordinating resources,
…increasing the value to individuals
across organizations, and
you serve in a rapidly changing
processes to operate economic and urban world
effectively
© 2011 IBM Corporation

6. Some real examples from Smarter organizations around the world:
Italian Rail: Integrated intelligent physical security
Emergency Management is a single solution that can
systems to improve safety, reduce crime, prevent
accommodate automated and human reported
malicious behavior in rail stations, tunnels, track
planned / unplanned events which required an
crossings.
Miami Dolphins: Fan experience is #1 priority ,Safety
DC Water: Use EAM data to set up manual or and Security Crowd flow Easy access into and around
automated scheduling of work crews to optimize the stadium POS management.
maintenance and repair schedules based on type of
work order, location, crew skills and equipment
needed.
© 2011 IBM Corporation

7. Drilling down: Advanced Water Department Management
Weather
Linkage
Intelligent
Manholes Rescheduled
work orders
Sensor
Data
7
© 2011 IBM Corporation

8. What about engaging citizens into water conversation?
• Showing citizens what their
consumption is
– Engaging them into
the conservation
process
– This applies to energy
conservation, as well
• With a corresponding view
for management!
© 2011 IBM Corporation

9. Common Pain Points in managing crime
The information is scattered …
Criminal Justice,
Corrections
Agencies
How do we get the
Regional
necessary information to
Law Enforcement Centers of
the right people at the right
Data Exchanges Operations
time?
Fire Dept,
Early
Responders,
Other National law
Disciplines enforcement
bodies
© 2011 IBM Corporation

10. Another issue: managing video surveillance
• Video: cities everywhere are deploying
many cameras
– But – how to get value out of all
that video?
– Automated analytics can help!
• Including:
– Alerts
– Video searches
• Reducing the need for dedicating
police officers to monitoring cameras
© 2011 IBM Corporation

11. Cities are moving to consolidated crime information centers to manage this
complexity and do predictive policing
Statistical Reports – based on CompStat, and designed primarily for compliance reporting, allows bureaus or departments to
pinpoint problematic criminal areas (crimes, locations, times, etc)
Analytical Reports – taking the statistics one step deeper, detecting and displaying trends, patterns and historical
comparisons
Predictive Models – combining multiple data sources to predict the conditions and circumstances where crimes are likely to
occur, across multiple dimensions (time, location, environmental conditions, events, demographic shifts, etc)
Geo-spatial Display - taking all reporting capabilities above and displaying them in a geo-spatial format, to accurately visualize
and pinpoint locations and areas for effective resource deployment
Identity and Relationship Resolution – accurately identify suspects and victims, accounting for non-obvious relationships
Text Analytics – Rule-based and configurable analysis of document content. Data structures are outside of the Crime
Information Warehouse
Alerts – based upon singular identity and web services connectivity, provides handheld alerts to field police officers using
underlying data warehouse and federated search capability
NIEM Compliant Information Sharing – allows data to be shared amongst disparate and external law enforcement agencies
© 2011 IBM Corporation

12. Emergency management
• Knowing what’s likely to happen
• Where it’s likely to impact you
– Not just “in my city”
– But in which neighborhood
• With high confidence
• We started with weather-related events such as
blizzards, floods, etc
© 2011 IBM Corporation

13. But emergency management is much broader
• Where are events happening?
• Where are my resources to
manage the event?
– What about non-
governmental resources?
• Do I have Standard Operating
Procedures which are
appropriate and ready to
execute?
– Can I monitor their
progress and take
corrective actions in real
time?
• Can I assemble teams,
dynamically
– Which are appropriate to
the incident?
© 2011 IBM Corporation

14. Intelligent management of transportation – to help manage the increasing
congestion our citizens experience
Arrival Prediction / Congestion Analysis
Roles & Permissions
View Service Level, Event, & Device
Details
Situational Awareness
Automatic Clustering
Based on Map Zoom Level
Historical Analysis & Planning
Real-Time and
Historical Reporting
Sensor / Device Mapping
© 2011 IBM Corporation

15. And not just cities: Smarter Stadium Environment
Public Safety
Transportation Weather
Media
Point of Sale
Suites Team Facilities
Safety & Team Facilities
Security
Training
Facilities
Parking
Crowd Flow Facilities
Management IT
Infrastructure
Many Technologies and Activities Need to Be Integrated
to Create a Smarter Stadium © 2011 IBM Corporation

16. Smarter Buildings are a cornerstone of smart urban infrastructures.
Smarter Buildings
Integrated and optimized physical and digital infrastructures
to create cost effective and operationally efficient buildings Homes
and micro grids – energy, water, waste, GHG management Energy and Water Management - Central control and connection of
home systems - electronics and community micro grids
Commercial and Municipal Buildings
Industrial
Plants Appliances
Automatically adjust power
usage based on grid status
Meters
Digital link with power company
Cogeneration to enable energy optimization
and time-of-use savings
Distribution Company Electric Company Central
Distribution management Power Plant
Energy supply chain Customer account management
Network operation Time of use management
Energy management
Vehicle Charging
Smart charging of hybrid & electric vehicles Solar and Wind
at home and at commercial locations Farms
Energy Exploration, Production and Generation –
 Coal, Oil, Gas
 Nuclear, Hydroelectric
 Solar, Wind, Geothermal
© 2011 IBM Corporation

17. IOC & VCAS Combined
What else is possible?
Event Captured, video analytics / image stored locally
Captured data converted to CAP
Video
Analytics
Video as a Sensor CAP stored , and processed
Charting, Geo Spatial
Data
Processing
Data
Analytics
Insight
Citizen as a Sensor
© 2011 IBM Corporation

18. For example: using citizens’ reports around an emergency
These are reports on what supplies weren’t available, after the Japan earthquake & tsunami
water battery
rice gasoline
Cannot buy
© 2011 IBM Corporation

19. © 2011 IBM Corporation

20. People do interact virtually
The conference appears to have been successful. 502
people attended from around the world, most returning
for 2 or 3 days About 350 people attended each day for
the first 2 days, with a drop on the third day, perhaps
because it had only one Keynote rather than 2 or 3 as
on the previous days.
© 2011 IBM Corporation

21. Citizens are being given different channels to participate
© 2011 IBM Corporation

22. People are changing
how they ask for help
© 2011 IBM Corporation

23. Some lessons we’ve learned from all those projects
• Technology is important but it’s not the hard part
• Leadership, within the government, is critical
• Costs are critical too, especially today
– Are flexible options for delivery available?
• Plan to manage risks, both within the government and between the organization
and your implementation partners
• Making a single silo (department, agency) smarter is good for that department
but doesn’t really make a city or government smarter
• Start with small initial project but have a roadmap
– Including planning to deliver your smarter government over a period of a few
years, not a few months
– Make sure your partners are committed to deliver the right expertise to
support you, for the long term
We have run out of money, now we
must think – Sir Winston Churchill
© 2011 IBM Corporation

24. To learn more, see IBM’s Smarter Cities web site
http://www.ibm.com/think/cities
© 2011 IBM Corporation

25. © 2011 IBM Corporation