10 carrato

Assessment Dashboard:
“Seeing the Meaning”
IBM Intelligent Operations Centre

Tony Carrato
Chief Product Architect
Smarter Cities, Industry Solutions Development,
IBM World Wide

Seeing the meaning – what’s
possible in a Smarter City!
Tony Carrato, Chief Product Architect, Smarter Cities
Industry Solutions, IBM Software Group
tony.carrato@us.ibm.com

© 2011 IBM Corporation

Citizens are placing increasing demands on leaders to innovate

Evolution of City Value

Citizens Security Convenience Opportunity Prosperity
Demand

Time

Leaders Walls, Water, Jobs, Lifestyle,
Deliver Roads Energy Education Culture

“The 19th century was a century of empires… the 20th century was a
century of nation states… the 21st century will be a century of cities”
Mayor Wellington Webb, Former Mayor, Denver, CO


Innovative leaders create opportunities from today’s harsh realities

Sustainability
Investment

Innovation Community

Declining Increasing
Budgets Threats
Aging Changing
Infrastructure Populations


From over 2,000 projects with cities of all sizes, there are lessons to
learn
Predictive analytics In Delft, developing
Smart metering in helped slash Data analytics enhanced flood
Malta helps Richmond’s helped cut crime prediction and
citizens pay only crime rate by 35% in NYC protection systems for
for the energy
they use 40% coastal areas and
river deltas
in one year
In downtown Stockholm
In Taiwan, smart traffic systems helped Peak energy

99% Miami-Dade
County Public
20%
reduce gridlock by loads fell by 15%
when IBM helped
Schools have homes in the Pacific
of smarter IBM helps Amsterdam Airport Northwest talk
trains run
on time
increased
academic Schiphol move 20 million straight to the grid
achievement more bags every year with a
across the board smarter baggage system


These lessons show us what’s possible: being smarter around the services that you
deliver by…

Capturing
informa(on

to
make
be.er
An,cipa,ng
problems

decisions
to
resolve
them

proac(vely

Coordina,ng
resources,
…increasing
the
value
to
individuals

across organizations,
and

you
serve
in
a
rapidly
changing

processes
to
operate

economic
and
urban
world

eﬀec(vely


Some real examples from Smarter Cities 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.


Drilling down: Advanced Water Department Management
Weather
Linkage

Intelligent
Manholes Rescheduled
work orders

Sensor
Data

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 city management!


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

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


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


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


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?

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

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

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
 Customer account management
 Energy supply chain
 Time of use management
 Network operation
 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

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


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


Some lessons we’ve learned from all those projects

•  Technology is important but it’s not the hard part
•  Leadership, within the city, is critical
•  Costs are critical too, especially today
–  Are flexible options for delivery available?
•  Plan to manage risks, both within the city and between the city and your
implementation partners
•  Making a single silo (department, agency) smarter is good for that department
but doesn’t really make a city smarter
•  Start with small initial project but have a roadmap
–  Including planning to deliver your smarter city 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


To learn more, see IBM’s Smarter Cities web site

http://www.ibm.com/think/cities

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