Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
© 2012 IBM Corporation
Smarter Cities & Public Safety More Data – Less Criminal Actions                More Data – Less Criminal ActionsPresenter...
Public Safety - Today’s Challenges•   Global Instability•   Terrorism and asymetric threats•   Increased crossborder crimi...
The Challenge: Bring Together a Large Volume and Variety of Data    to Find New Insights                                  ...
Public Safety is wide     National                                        Law                 Private                     ...
Criminal Activities and Fraud Spans Every Sector                IBM i2 Fraud Intelligence Analysis                        ...
IBM’s Solutions around Smarter Cities help ensure thesafety and security of citizens, businesses, andgovernments  Predicti...
Criminal and Fraud analysis across the fraud lifecycle    Investigate                                                     ...
Investigative Challenges
Required Capabilities             Visual Analysis & Collaboration             Operational dashboards, workflow, case adjud...
How Intelligence Analysis helps PredictiveAnalytics• Delivers more insight into  the relationships between  data points   ...
Understanding events over time
Understand Social Networks – rapid ring leader                  discovery
Reveal and understand complex relationships
Understand patterns of behaviour and focus
Examples•   Real world data•   Messy•   Large, really large•   Phone calls•   Transactions
If you had a day...
IBM Intelligence Analysis, in summary• Rapidly creates visual and actionable intelligence• Automates manual analysis metho...
Upcoming SlideShare
Loading in …5
×

Smarter Safety: Flere data, færre kriminelle handlinger, Mauritz Gilberg & Sturt Ison, IBM

749 views

Published on

Præsentation fra IBM Smarter Business 2012

Published in: Technology, Business
  • Be the first to comment

Smarter Safety: Flere data, færre kriminelle handlinger, Mauritz Gilberg & Sturt Ison, IBM

  1. 1. © 2012 IBM Corporation
  2. 2. Smarter Cities & Public Safety More Data – Less Criminal Actions More Data – Less Criminal ActionsPresenter name: Mauritz Gillberg/ Sturt IsonJob title: i2 Sales Lead Nordics/ i2 Techn Sales North EuropeCompany name: IBM i2
  3. 3. Public Safety - Today’s Challenges• Global Instability• Terrorism and asymetric threats• Increased crossborder criminality• Financial fraud, card skimming etc• More data everywhere
  4. 4. The Challenge: Bring Together a Large Volume and Variety of Data to Find New Insights Multi-channel customer sentiment and experience a analysis Detect life-threatening conditions at hospitals in time to intervene Predict weather patterns to plan optimal wind turbine usage, and optimize capital expenditure on asset placement Make risk decisions based on real-time transactional data Identify criminals and threats from disparate video, audio, and data feeds4
  5. 5. Public Safety is wide National Law Private Defense Government Security Enforcement Sector Counter Terrorism Establishing Tactical Lead Security Industry OversightCounter Intelligence Civilian Structures Generation Investigations & Compliance Counter Intelligence Counter Terrorism Industry Oversight CybercrimeIntelligence Analysis Intelligence Analysis Major & Compliance Securities Border Security Investigations Target Analysis Cybercrime Investigations Cyber Risk and Defense Organized Crime Risk Management Anti-Money Peacekeeping Neighborhood/ Laundering Community Policing Anti-Money Force Protection Laundering Fraud Investigation Pattern of Life Public Order/Major Analysis Event Management Fraud Investigation Human Terrain Volume Crime Mapping Fusion Centers
  6. 6. Criminal Activities and Fraud Spans Every Sector IBM i2 Fraud Intelligence Analysis Cyber Fraud Organized Crime
  7. 7. IBM’s Solutions around Smarter Cities help ensure thesafety and security of citizens, businesses, andgovernments Predictive analytics Data analytics In Edmonton, helped slash helped cut crime police respond to Richmond’s crime crimes more 35% in NYC effectively with near rate by 40% real-time in one year NYPD officers have information mobile access to 120 million criminal complaints, Madrid reduced arrests CPP increased emergency response and 911 records fraud detection by time by 25% 50%
  8. 8. Criminal and Fraud analysis across the fraud lifecycle Investigate PreventCase management, Report/ Prevent the issuance ofvisualization and Monitor Model the policy if it appears theanalysis tools to aid main purpose of theinvestigators in building policy/account is toa case against Investigate Prevent provide benefit to afraudsters. fraudster Build a case for Stop fraud before it prosecution or denial is reportedToday: Special of benefits Today: Little is done toinvestigations unit with prevent fraud frommanual adjusters occurring Discover DetectContinuous comparison Discover Fraudster Detect Detect if a claim,of claim or transaction payment or other Discover fraud after Detect fraud once it isdata to the data of it occurs transaction is likely a reported – and reactcases known to be accordingly willful act to achievefraudulent in order to financial gain throughidentify fraud that was misrepresentationnot previously detected and/or falsification; and take steps to stop or send to InvestigationToday: Not really done Today: Relies heavily on people to detect Learn
  9. 9. Investigative Challenges
  10. 10. Required Capabilities Visual Analysis & Collaboration Operational dashboards, workflow, case adjudication Workflow & Case Management Visualization & Operational Link Analysis Dashboards Analytics Layer Intelligence, Descriptive & Predictive Analytics against structured, semi-structured and unstructured information Descriptive and Content & Streams Predictive Sentiment Analytics Analytics Analytics Information SharingTrusted Information Analysis RepositoryEstablish, Manage, Share & Deliver information thatis accurate, complete, in context and insightful Persistent Relationship Awareness ETL Data on Demand Data Quality Data Delivery Source Systems Structured & Unstructured Content
  11. 11. How Intelligence Analysis helps PredictiveAnalytics• Delivers more insight into the relationships between data points – Model does not show correlations between individuals  Visualizes connections that the predictive model cannot  Allows analysts to be more effective – ability to receive deeper insight into investigation process11
  12. 12. Understanding events over time
  13. 13. Understand Social Networks – rapid ring leader discovery
  14. 14. Reveal and understand complex relationships
  15. 15. Understand patterns of behaviour and focus
  16. 16. Examples• Real world data• Messy• Large, really large• Phone calls• Transactions
  17. 17. If you had a day...
  18. 18. IBM Intelligence Analysis, in summary• Rapidly creates visual and actionable intelligence• Automates manual analysis methods• Quickly identifies patterns and relationships in large complex data that might otherwise be missed• Skilled resources spend more time investigating and analyzing – close cases faster• Uses the customers existing infrastructure

×