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FWD50 2018 - AI in Government – Transformational, Practical and Aspirational

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Veröffentlicht am

Kevin Poulton (Microsoft Canada)
Jim Provost (Lixar IT)
Mike Sisk (Lixar IT)
Marlene Floyd (Microsoft Canada)
Mike Wright (Microsoft Canada)

Part I: Framing the Opportunity to Transform Government with AI and Machine Learning

Part II: Early Success Stories from Government of Canada

Part III: AI for All – Leveraging AI for Accessibility & Inclusion in a Digital World

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FWD50 2018 - AI in Government – Transformational, Practical and Aspirational

  1. 1. Humans are great at pattern matching.
  2. 2. Humans are great at pattern matching. That’s a blessing and a curse.
  3. 3. Maslow’s Hammer
  4. 4. When a new technology comes along, it impacts how you frame the solution.
  5. 5. ( trains )
  6. 6. ( cars )
  7. 7. ( telecommunications )
  8. 8. Making these changes are non-trivial: • Ottawa: $2B for LRT • Microsoft: $15B for data centres • $400M to test 5G networks
  9. 9. When a new technology comes along, it impacts how you frame the solution.
  10. 10. Will this be the right solution in 50 years?
  11. 11. When a new technology comes along, it impacts how you frame the solution.
  12. 12. Going forward, everything can be a Data Solution.
  13. 13. • It’s not a train solution, it’s a national security problem. • It’s not a car solution, it’s a person-moving problem. • It’s not a telephone solution, it’s an information problem.
  14. 14. Everything is a Data Challenge.
  15. 15. Everything was a Data Challenge.
  16. 16. Easier to try. Less expensive to try. When new tech comes along, it’s still a data solution.
  17. 17. How to frame something as a Data Problem:
  18. 18. Stats 101
  19. 19. {1, 1, 1} = (1+1+1)/3 = 1
  20. 20. {1, 1, 1} = (1+1+1)/3 = 1
  21. 21. {1, 1, 1} = (1+1+1)/3 = 1
  22. 22. {1, 1, 1} = 1 ( no variance )
  23. 23. {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1}
  24. 24. {1, 1, ?} = (1+1+1)/3 = 1
  25. 25. {1, 1, ?} = probably 1
  26. 26. {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ?}
  27. 27. More confidence with more historical data.
  28. 28. Stats: for when you don’t have all the data.
  29. 29. Models: predict the future
  30. 30. = 4
  31. 31. = probably 4
  32. 32. Given Data Predict a Result
  33. 33. = 14 +/- 11
  34. 34. Nothing in stats is 100% guaranteed.
  35. 35. {1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ?}
  36. 36. Frame it as a Data Challenge.
  37. 37. Frame it as a Data Challenge. Lots of data and a “right answer.”
  38. 38. AI for Accessibility Video https://www.youtube.com/watch?v=bbrZ2pvubL0
  39. 39. How can AI empower
  40. 40. Good
  41. 41. Giving organizations a faster, more effective land cover mapping tool to better analyze, monitor, and manage natural resources. Land Cover Mapping FarmBeats Giving farmers real- time data and actionable insights to increase production, maximize efficiency, and lower costs. Project Premonition Using insects as field biologists to give conservationists faster biodiversity data and insights to protect vulnerable species. iNaturalist Identifying species from crowdsourced images to give conservationists real- time insights on how distributions are responding to environmental changes. Wild Me Combining citizen science and AI to combat extinction by enabling rapid individual animal identification and population analysis while decreasing the cost of data collection
  42. 42. A free app that narrates the world around you. Designed for the low vision community, this research project harnesses the power of AI to describe people, text, and objects. Uses innovative audio-based technology to enable people, particularly those with blindness or low vision, to build a richer awareness of their surroundings. Seeing AI Translator Microsoft Translator is today empowering people who are deaf or hard of hearing with real-time captioning of conversations. Soundscape Helps children with autism to communicate more easily with their environment, based on pictograms and associated keywords. Helpicto
  43. 43. Seeing AI Video https://www.youtube.com/watch?v=bqeQByqf_f8
  44. 44. Help ensure the safety and wellbeing of children around the world. Provide scalable solutions to help the approximately 68 million displaced peopled, including refugees. Support resiliency, response, and recovery programs designed for those affected by humanitarian emergencies. Disaster Relief Needs of Children Refugees & Displaced People Human Rights Accelerate breakthrough solutions that help monitor, detect, and prevent human rights violations.
  45. 45. ECONOMIC GROWTH SOCIAL INCLUSION GOOD GOVERNANCE ENVIRONMENTAL SUSTAINABILITY Government Mission Is To Achieve: “Digitally enabled participation and production of services is changing people’s expectations about their relationships with Government” - OECD, July 2014 Digital Transformation PUBLIC SAFETY NATIONAL SECURITY
  46. 46. Surfacing intelligence in the public sector Empower employees to deliver efficient service Optimize government operations Transform your services Engage and service citizens more effectively DELIVER ON-DEMAND DIGITAL SERVICES BUS ARRIVING (5 MIN) DELIVER ON-DEMAND DIGITAL SERVICES BUS ARRIVING (5 MIN) PROVIDE CITIZENS EXCELLENT CUSTOMER SERVICEPROVIDE CITIZENS EXCELLENT CUSTOMER SERVICE STREAMLINE CASE MANAGEMENT CASE 3572 STREAMLINE CASE MANAGEMENT CASE 3572 WORK ORDER ENABLE FASTER RESPONSE TIMES WORK ORDER ENABLE FASTER RESPONSE TIMES AUTOMATE MANUAL, TIME-INTENSIVE PROCESSES PERMIT APPROVED PERMIT REQUEST AUTOMATE MANUAL, TIME-INTENSIVE PROCESSES PERMIT APPROVED PERMIT REQUEST UNDERSTAND CITIZEN AND BUSINESS NEEDSUNDERSTAND CITIZEN AND BUSINESS NEEDS EQUIP EMPLOYEES TO STAY CONNECTED CASE 3572 EQUIP EMPLOYEES TO STAY CONNECTED CASE 3572
  47. 47. Engage and serve citizens more effectively to increase trust and engagement Hi John, I can help. How do I apply for a permit? PERMIT REQUEST APPROVEDPERMIT REQUEST APPROVED When does the 510 bus arrive? 510 BUS ARRIVING (5 MIN) Employ intelligent search agents to deliver personalized on-demand digital services Enable personal assistants to guide citizens through a service request Keep citizens informed with automated tools that route and monitor service requests
  48. 48. Empower employees to deliver more efficient service Current Step #157 Training Center Employee Knowledge Center Employee Knowledge Center How can I help you, Jane? What is our permit approval process? Training Center Next Step Case ManagerTraining Center Training Center Next Step Case Manager Add service order to queue for technician assignment Current Step Next Step #157 Case Manager Add service order to queue for technician assignment Current Step Next Step #157 Case Manager Provide digital assistants to create personalized employee learning management experiences Create self-service bots to give employees instant access to knowledge base Leverage advanced analytics to expedite the workflow process and identify the next best action
  49. 49. Optimize government operations and make the most of limited resources 1 11 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 11 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 11 10 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 11 10 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 Energy Consumption Compliance Risks Audit ResultsCompliance Risks Audit Results PERMIT REQUEST PERMIT REQUEST Energy Consumption Capture, prioritize, and route service requests to the correct employee and improve response times Employ advanced analytics and predictive models to identify and prevent regulatory and compliance risks Enhance connected devices to monitor critical facility systems and adapt to shifting energy demands
  50. 50. Transform your services to provide enhanced value to citizens Current Inventory Employees Assigned Current Inventory Employees Assigned Track trends that inform future planning to achieve desired outcomes Leverage internal and public data to measure and augment the impact of government initiatives Ensure optimal service using predictive models to recommend ideal inventory levels and workforce allocation
  51. 51. Frame it as a Data Challenge.
  52. 52. Frame it as a Data Challenge. Lots of data and a “right answer.”
  53. 53. Given Data Predict a Result
  54. 54. Prediction
  55. 55. MACHINES LEARN: FORECAST AND PREDICTION Given Day of Week and Temperature Predict Visitors
  56. 56. MODEL: FORECAST AND PREDICTION = 42,364
  57. 57. MACHINES LEARN: CHURN Given Age and Performance Review Scores Predict Loss
  58. 58. MODEL: CHURN = 74%
  59. 59. MACHINES LEARN: RESOURCE SCHEDULING Given Flight Schedules and PLF Predict Required Resources
  60. 60. MODEL: RESOURCE SCHEDULING = 87
  61. 61. MACHINES LEARN: RESOURCE SCHEDULING
  62. 62. ChatBot
  63. 63. Cognitive Services
  64. 64. Cognitive Services machine vision, text analytics, and more
  65. 65. Lots of data and a “right answer.”
  66. 66. Lots of data and a “right answer.” It’s easier, as long as you start small.

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