Sask 3.0 Summit -Seeing the Meaning, IBM R. Loepp
- 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