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Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Lucidworks

Intelligent Policing. Leveraging Data to more effectively Serve Communities.

Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation.

Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform.

Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force.

In this webinar, we'll cover:
-The technology needs of an intelligent police force.
-How a Global Search improves an officer's interaction with existing data.

Featuring:
-Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks
-Michael Cizmar, Managing Director, MC+A
-Ian Williams, Manager of Analytics & Innovation, Toronto Police Service

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Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Lucidworks

  1. 1. 1 Intelligent Insight Driven Policing
  2. 2. 2 Today’s Speakers S I M O N TAY L O R S V P W O R L D W I D E C H A N N E L S & A L L I A N C E S M I C H A E L C I Z M A R F O U N D E R & M A N A G I N G P A R T N E R I A N W I L L I A M S M A N A G E R O F A N A L Y T I C S & I N N O V A T I O N
  3. 3. 3 Agenda T H E N E E D F O R I N S I G H T S 1 . U N I F I E D I N C I D E N T R E P O R T I N G – A C T I O N A B L E I N S I G H T S 2 . U N D E R S TA N D I N G T H E C O M M U N I T Y – P R O A C T I V E AWA R E N E S S 3 . S U P P O R T I N G T H E O F F I C E R – I N S I G H T S F O R W E L L N E S S Q & A
  4. 4. 4 68% Of LEAs have or are planning to implement unified information platforms Research on the Impact of Technology on Policing Strategy in 21st Century – DOJ - 2017
  5. 5. 5 I N F O R M AT I O N M O D E L Any format, any platform, any source Officer Generated Policing Systems Application Generated Index Search Intent BuildApp RULE ENTITY ML NLP BOOST SIGNAL F U S I O N P L AT F O R M FUSION POI 360 FUSION Crime Search IntelligentPolicing FUSION Community Insight P O L I C I N G E F F I C I E N C Y S O L U T I O N S
  6. 6. 6 Unified Incident Reporting • Legacy Data Insight • Unified KM • NIBRS Compliance POI 360 • Unified View • Relationships • Indicators & Intervention Social & Community Support • Social Data Integration • Proactive Awareness • Operational Effectiveness Unified Incident Reporting • Legacy Data Insight • Unified KM • NIBRS Compliance POI 360 • Unified View • Relationships • Indicators & Intervention Social & Community Support • Social Data Integration • Proactive Awareness • Operational Effectiveness Operational Insight
  7. 7. 7 M A P P I NG THE PATH O P E R AT I O N A L I N S I G H T S I S A P R O C E S S Organizational Maturity ProcessMaturity 0 No Awareness Multiple Silos of Information 1 Unified Platform Unified Index Platform 2 Insights in Workflow Search & Insight in Officer Workflow 3 Situational Awareness Pushing Insights to Officer in field 4 Knowledge Assist Investigative Assistance through ML
  8. 8. 8 Integrated Incident Reporting N I B R S 2 0 2 1
  9. 9. 99 JANUARY 2021 COMPLIANCE the U C R (U ni fi ed C ri me R eporti ng) P rogram i s reti ri ng the S R S (S ummary R eporti ng S ystem – Mo n th l y ) a n d w i l l transi ti on to a N IB R S -o n l y d a ta col l ecti on by January 1, 2021 National Incident-Based Reporting System (NIBRS) is an incident-based reporting system used by law enforcement agencies in the United States for collecting and reporting data on crimes. Local, state and federal agencies generate NIBRS data from their records management systems.
  10. 10. 10 Connecting the Policing to Insights Routine, Predictable, Uni-channel, Static Database, Defined Process, Functional Knowledge & Databases BEFORE Multisource, Multi DB, Multiformat, Internal / External, Interrelated, Distributed NOW
  11. 11. Data Scientist Driven Activity Operational Analytics Meet the “Last Mile Problem” RawData Velocity Variety Veracity Volume Value DataCollection ETL, Capture, Archive, Move & Manage DataLake Store to HDFS, Azure or AWS, Break down for processing LakesideUnderstanding Select, Describe, Explore, Verify Quality, Parse, Clean, Join & Structure DataRefinery Model, Aggregate & Transform Multi- Structured Data (JSON) Transactions&Interactions Retain runtime & historical models for ongoing refinement ApplicationConstruction Contextual Business Use Cases Cubes for Navigation & Mining Intelligence&Analysis User Specific Visualization, Presentation, Dashboards & Reporting BigDataManagement &Analytics ❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽ Problems with Getting to Policing Data
  12. 12. Data Scientist Driven The Last Mile Problem Reduced Time to Value Quantifiable & Faster ROI ManagedData Human Process Application IndexIngestionPipelines Ingest, Verify, Index, Entity, Cluster ML Rules & Algorithms Ontology Enrichment BehavioralEnrichment Insight, Relevancy Ranking, Signals Processing Real-time Learning ApplicationVisualization Dynamic Prototype, Build & Visualization Interactive Dashboarding Search,Discovery& OperationalAI RawData Velocity Variety Veracity Volume Value DataCollection ETL, Capture, Archive, Move & Manage DataLake Store to HDFS, Azure or AWS, Break down for processing LakesideUnderstanding Select, Describe, Explore, Verify Quality, Parse, Clean, Join & Structure DataRefinery Model, Aggregate & Transform Multi- Structured Data (JSON) Transactions&Interactions Retain runtime & historical models for ongoing refinement ApplicationConstruction Contextual Business Use Cases Cubes for Navigation & Mining Intelligence&Analysis User Specific Visualization, Presentation, Dashboards & Reporting BigDataManagement &Analytics ❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽ ❶ ❷ ❸ ❹ Direct Alignment with Business Needs Moving towards an Insight Driven View of Policing Data
  13. 13. 13 Operational Insights T O R O N T O P O L I C E S E RV I C E Looking Back Insights Today Path Forward Toronto Police Service Experiences with Operational Insights
  14. 14. Integrating RMS Data with Legacy M U LT I P L E L E G A C Y S Y S T E M S C U R R E N T R M S I N V E S T I G AT I O N F I L E S H A R E S
  15. 15. 15 SEARCH FILTER VISUALIZATION NAVIGATIONINSIGHT RELEVANCY STATISTICS RANKING CORRELATION ACTIVITY CONTENT INDEX NATURAL LANGUAGE BOOSTED RESULTS MACHINE LEARNING QUERY RULE MATCHING USER SIGNALS FACET, TOPIC & CLUSTER D ATA Files Legacy RMS S O L U T I O N Operational Insights NATURAL LANGUAGE MACHINE LEARNING QUERY RULE MATCHING USER SIGNALS FACET, TOPIC & CLUSTER Moving from Data to Insight
  16. 16. 16 Understanding the Community
  17. 17. 17 Integrating Social v I N F O R M T H E C O M M U N I T Y v G A I N P U B L I C A S S I S TA N C E v T R A N S PA R E N C Y F O R I M P R O V E D T R U S T v I D E N T I F Y M I S S I N G P E R S O N S v P R O A C T I C E I N T E L L I G E N C E G AT H E R I N G v C R E AT E S O C I A L T O P I C S & F O L L O W I N G 96.4% of law enforcement agencies use social media in one capacity or another
  18. 18. 18 A N E X A M P L E O F U N I F I E D O F F E N D E R P E R S P E C T I V E “Insight Driven Policing Portal”
  19. 19. 19
  20. 20. 20 Supporting Officers D ATA I N S I G H T S I M P R O V E O P E R AT I O N A L W E L L N E S S
  21. 21. 21 30% By 2023, 30% of law enforcement & PS will leverage [insight] systems for personnel + organizational effectiveness Implement an Early Intervention System to Improve Accountability and Wellness in Law Enforcement, Gartner, 4 Sept 2020
  22. 22. 22 Key Challenges ¥ Data Related to Officer Activities is Stored in Decentralized Data Sources ¥ Officer Related Analytics are Focused on Incident rather than the personnel involved preventing insight ¥ Decisions related to officer wellness and accountability have limited datasets and lagging indicators ¥ Trust at all levels between politicians, the public officers and leaderships is needed to improve wellness and officer training Implement an Early Intervention System to Improve Accountability and Wellness in Law Enforcement, Gartner, 4 Sept 2020
  23. 23. 23 Being an Officer is Challenging Implement an Early Intervention System to Improve Accountability and Wellness in Law Enforcement, Gartner, 4 Sept 2020 Officer Support é Employee Retention Professional Development Accountability ê Healthcare Cost Personnel Well-Being
  24. 24. 24 ü I M P R O V E S V I S I B I L I T Y & C O N N E C T I V I T Y A C R O S S D ATA S O U R C E S ü B R I N G E N H A N C E D I N S I G H T S T O I N V E S T I G AT I O N S ü I M P R O V E S A W A R E N E S S Key Takeaways Intelligent Policing Toronto Police Service
  25. 25. 25 Questions & Answers

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Intelligent Policing. Leveraging Data to more effectively Serve Communities. Policing in the next decade is anticipated to be very different from historical methods. More data driven, more focused on the intricacies of communities they serve and more open and collaborative to make informed recommendations a reality. Whether its social populations, NIBRS or organization improvement that’s the driver, the IT requirement is largely the same. Provide 360 access to large volumes of siloed data to gain a full 360 understanding of existing connections and patterns for improved insight and recommendation. Join us for a round table discussion of how the Toronto Police Service is better serving their community through deploying a unified intelligent data platform. Data innovation improves officers' engagement with existing data and streamlines investigation workflows by enhancing collaboration. This improved visibility into existing police data allows for a more intelligent and responsive police force. In this webinar, we'll cover: -The technology needs of an intelligent police force. -How a Global Search improves an officer's interaction with existing data. Featuring: -Simon Taylor, VP, Worldwide Channels & Alliances, Lucidworks -Michael Cizmar, Managing Director, MC+A -Ian Williams, Manager of Analytics & Innovation, Toronto Police Service

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