Today organizations are only tapping in to a small fraction of the data that is available to them The challenge if figuring out how to analyze ALL the data, and find insights in these new and unconventional data types Imagine if you could analyze the 12B TB of tweets being created each day to figure out what people are saying about your products, figure out who the key influencers are within your target demographics. Can you imagine being able to mine this data to identify new market opportunities. What if hospitals could take the thousands of sensor readings collected every hour per patients in ICUs to identify subtle indications that the patient is becoming unwell, days earlier that is allowed by traditional techniques. Imagine if a green energy company could use PBs of weather data along with massive volumes of operational data to optimize asset location and utlization, making these environmentally friends energy sources more cost competitive with traditional sources. Imagine if you could make risk decisions, such as whether or not someone qualifies for a mortgage, in minutes, by analyzing many sources of data, including real-time transactional data, while the client is still on the phone or in the office. Image if law enforcement agencies could analyze audio and video feeds in real-time without human intervention to identify suspicious activity. As these new sources of data continue to grow in volume, variety and velocity, so too does the potential of this data to revolutionize the decision-making processes in every industry.
IBM I2’s analysis solutions span a wide range of capabilities and empowers government agencies and private sector business to investigate, predict, prevent and disrupt the world’s most sophisticated criminal and terrorist threats.
Smarter Safety: Flere data, færre kriminelle handlinger, Mauritz Gilberg & Sturt Ison, IBM
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
Public Safety - Today’s Challenges• Global Instability• Terrorism and asymetric threats• Increased crossborder criminality• Financial fraud, card skimming etc• More data everywhere
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
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
Criminal Activities and Fraud Spans Every Sector IBM i2 Fraud Intelligence Analysis Cyber Fraud Organized Crime
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%
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
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
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
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