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10 carrato 10 carrato Presentation Transcript

  • Assessment Dashboard: “Seeing the Meaning” IBM Intelligent Operations Centre Tony Carrato Chief Product ArchitectSmarter 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 innovateEvolution 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 © 2011 IBM Corporation
  • Innovative leaders create opportunities from today’s harsh realities Sustainability Investment Innovation Community Declining Increasing Budgets Threats Aging Changing Infrastructure Populations © 2011 IBM Corporation
  • From over 2,000 projects with cities of all sizes, there are lessons tolearn Predictive analytics In Delft, developingSmart metering in helped slash Data analytics enhanced floodMalta helps Richmond’s helped cut crime prediction andcitizens pay only crime rate by 35% in NYC protection systems forfor the energythey 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 © 2011 IBM Corporation
  • These lessons show us what’s possible: being smarter around the services that youdeliver 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   © 2011 IBM Corporation
  • 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 ,SafetyDC Water: Use EAM data to set up manual or and Security Crowd flow Easy access into and aroundautomated scheduling of work crews to optimize the stadium POS management.maintenance and repair schedules based on type ofwork order, location, crew skills and equipmentneeded. © 2011 IBM Corporation
  • Drilling down: Advanced Water Department Management Weather Linkage Intelligent Manholes Rescheduled work orders Sensor Data 8 © 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 city management! © 2011 IBM Corporation
  • Common Pain Points in managing crimeThe information is scattered … Criminal Justice, Corrections Agencies How do we get the Regional necessary information toLaw Enforcement Centers of the right people at the rightData Exchanges Operations time? Fire Dept, Early Responders, Other National law Disciplines enforcement bodies © 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 thiscomplexity and do predictive policingStatistical Reports – based on CompStat, and designed primarily for compliance reporting, allows bureaus or departments topinpoint problematic criminal areas (crimes, locations, times, etc)Analytical Reports – taking the statistics one step deeper, detecting and displaying trends, patterns and historicalcomparisonsPredictive Models – combining multiple data sources to predict the conditions and circumstances where crimes are likely tooccur, 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 visualizeand pinpoint locations and areas for effective resource deployment Identity and Relationship Resolution – accurately identify suspects and victims, accounting for non-obvious relationshipsText Analytics – Rule-based and configurable analysis of document content. Data structures are outside of the CrimeInformation WarehouseAlerts – based upon singular identity and web services connectivity, provides handheld alerts to field police officers usingunderlying data warehouse and federated search capabilityNIEM 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 increasingcongestion 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
  • And not just cities: Smarter Stadium Environment Public SafetyTransportation Weather Media Point of Sale Suites Team Facilities Safety & Team Facilities Security Training Facilities Parking Crowd Flow Facilities Management IT InfrastructureMany 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 © 2011 IBM Corporation
  • 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
  • For example: using citizens’ reports around an emergencyThese are reports on what supplies weren’t available, after the Japan earthquake & tsunami water battery rice gasoline Cannot buy © 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 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 © 2011 IBM Corporation
  • To learn more, see IBM’s Smarter Cities web site http://www.ibm.com/think/cities © 2011 IBM Corporation
  • © 2011 IBM Corporation