Sask 3.0 Summit -Seeing the Meaning, IBM R. Loepp
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Transcript of Sask 3.0 Summit -Seeing the Meaning, IBM R. Loepp
© 2011 IBM Corporation
Seeing the meaning – what’s possible in a Smarter Government!
Rudi Loepp, Smarter Government Solutions Executive
© 2011 IBM Corporation
Citizens are placing increasing demands on leaders to innovate
Evolution of Government Value
Leaders Deliver
Citizens Demand
Time
Lifestyle, Culture
Jobs, Education
Water, Energy
Walls, Roads
Prosperity Opportunity Convenience Security
© 2011 IBM Corporation
Aging Infrastructure
Declining Budgets
Increasing Threats
Changing Populations
Innovative leaders create opportunities from today’s harsh realities
Innovation
Investment
Community
Sustainability
© 2011 IBM Corporation
From over 2,000 projects with cities of all sizes, there are lessons to learn
Smart metering in
Malta helps
citizens pay only
for the energy
they use
Predictive analytics helped slash
Richmond’s crime rate by
40%
in one year
In Taiwan,
99% of smarter
trains run
on time
Peak energy
loads fell by 15% when IBM helped
homes in the Pacific
Northwest talk
straight to the grid
IBM helps Amsterdam Airport
Schiphol move 20 million
more bags every year with a
smarter baggage system
In Delft,
developing enhanced
flood prediction and
protection systems
for coastal areas and
river deltas
Data analytics
helped cut crime
35% in NYC
In downtown Stockholm smart traffic systems helped
reduce gridlock by 20% Miami-Dade
County Public
Schools have
increased
academic
achievement
across the board
© 2011 IBM Corporation
…increasing the value to individuals
you serve in a rapidly changing
economic and urban world
Capturing information to make better decisions
Anticipating problems to resolve them
proactively
Coordinating resources, across organizations, and processes to operate effectively
These lessons show us what’s possible: being smarter around the services that you
deliver by…
© 2011 IBM Corporation
Some real examples from Smarter organizations around the world:
Italian Rail: Integrated intelligent physical security
systems to improve safety, reduce crime, prevent
malicious behavior in rail stations, tunnels, track
crossings.
Miami Dolphins: Fan experience is #1 priority ,Safety
and Security Crowd flow Easy access into and around
the stadium POS management.
Emergency Management is a single solution that can
accommodate automated and human reported
planned / unplanned events which required an
DC Water: Use EAM data to set up manual or
automated scheduling of work crews to optimize
maintenance and repair schedules based on type of
work order, location, crew skills and equipment
needed.
© 2011 IBM Corporation
Intelligent
Manholes
Sensor
Data
Weather
Linkage
Rescheduled
work orders
Drilling down: Advanced Water Department Management
7
© 2011 IBM Corporation
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
Law Enforcement
Data Exchanges
Criminal Justice,
Corrections
Agencies
Regional
Centers of
Operations
National law
enforcement
bodies
Fire Dept,
Early
Responders,
Other
Disciplines
How do we get the
necessary information to
the right people at the right
time?
Common Pain Points in managing crime
The information is scattered …
© 2011 IBM Corporation
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
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
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
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
Intelligent management of transportation – to help manage the increasing congestion our citizens experience
View Service Level, Event, & Device Details
Arrival Prediction / Congestion Analysis
Roles & Permissions
Automatic Clustering Based on Map Zoom Level
Real-Time and
Historical Reporting
Historical Analysis & Planning
Situational Awareness
Sensor / Device Mapping
© 2011 IBM Corporation
Many Technologies and Activities Need to Be Integrated
to Create a Smarter Stadium
And not just cities: Smarter Stadium Environment
Transportation
Point of Sale
Weather Public Safety
Parking
Safety &
Security
Facilities
Management Crowd Flow
Team Facilities
Training
Facilities
IT
Infrastructure
Team Facilities
Suites
Media
© 2011 IBM Corporation
Smarter Buildings Integrated and optimized physical and digital infrastructures to create cost effective and operationally efficient buildings and micro grids – energy, water, waste, GHG management
Homes Energy and Water Management - Central control and connection of
home systems - electronics and community micro grids
Appliances Automatically adjust power usage based on grid status
Distribution Company
Distribution management Energy supply chain Network operation
Electric Company
Customer account management Time of use management Energy management
Central Power Plant
Meters Digital link with power company to enable energy optimization
and time-of-use savings
Energy Exploration, Production and Generation – Coal, Oil, Gas
Nuclear, Hydroelectric
Solar, Wind, Geothermal
Commercial and Municipal Buildings
Solar and Wind Farms
Industrial Plants
Cogeneration
Smarter Buildings are a cornerstone of smart urban infrastructures.
Vehicle Charging Smart charging of hybrid & electric vehicles
at home and at commercial locations
© 2011 IBM Corporation
IOC & VCAS Combined
What else is possible? Event Captured, video analytics / image stored locally
Captured data converted to CAP
CAP stored , and processed
Charting, Geo Spatial
Video
Analytics
Data
Analytics
Data
Processing
Insight
Video as a Sensor
Citizen as a Sensor
© 2011 IBM Corporation
For example: using citizens’ reports around an emergency
These are reports on what supplies weren’t available, after the Japan earthquake & tsunami
water
Cannot buy
battery
rice gasoline
© 2011 IBM Corporation
© 2011 IBM Corporation
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
Citizens are being given different channels to participate
© 2011 IBM Corporation
People are changing how they ask for help
© 2011 IBM Corporation
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
To learn more, see IBM’s Smarter Cities web site
http://www.ibm.com/think/cities
© 2011 IBM Corporation