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Data-driven innovation B t Betsy Masiello M i ll Google Public - PowerPoint PPT Presentation

Data-driven innovation B t Betsy Masiello M i ll Google Public Policy Google Confidential and Proprietary * Searches for [hangover] Which day of the week are there the most searches for [hangover]? for [hangover]? 1: Sunday 2: Monday


  1. Data-driven innovation B t Betsy Masiello M i ll Google Public Policy Google Confidential and Proprietary

  2. *

  3. Searches for [hangover] Which day of the week are there the most searches for [hangover]? for [hangover]? 1: Sunday 2: Monday 2: Monday 3: Tuesday 4: Wednesday 5: Thursday 6: Friday 7: Saturday

  4. Search index for [hangover]

  5. Hangover by geography

  6. Hangover-vodka time series

  7. Monitoring disease outbreaks *

  8. Understanding economic trends *

  9. Insights for Search *

  10. Data at Google Data at Google Google Confidential and Proprietary

  11. Google Confidential and Proprietary

  12. Google Confidential and Proprietary

  13. Google Confidential and Proprietary

  14. Google Confidential and Proprietary

  15. From Goog411 to voice-to-text From Goog411 to voice-to-text Google Confidential and Proprietary

  16. Google Tools Google Tools Google Confidential and Proprietary

  17. And what of Open Data? And what of Open Data? McKinsey, Open Data, 2013 Google Confidential and Proprietary

  18. Data-driven innovation from open public data Data-driven innovation from open public data Harvard Kennedy School, Transparency Policy Project, 2012 Google Confidential and Proprietary

  19. Challenges to opening public data Challenges to opening public data 88 161 88,161 13,829 13,829 3 361 3,361 (up from ~500 in September) 1. Execution of good policy 2. Open formats & structuring 3. Licensing - creative commons 4. Technical implementation Google Confidential and Proprietary

  20. Suggested priorities Suggested priorities Focus on economic value & embrace open innovation A 2014 Si A 2014 Singapore report found in 5 years data-driven innovation could contribute 3% of GDP, 2x t f d i 5 d t d i i ti ld t ib t 3% f GDP 2 the value of the utilities sector ( Google: “singapore data innovation mason” ) ● Open data priorities Government as the platform - make data ● available with open licenses and formats available, with open licenses and formats Use APIs - facilitate private sector innovation and allow ● government to update data easily ● ● ‘Retail experience’ - if resources are available add Retail experience if resources are available, add value, but don’t delay release of data seeking perfection Google Confidential and Proprietary

  21. Take the ‘random’ out of governing Take the random out of governing Google Confidential and Proprietary

  22. Some data policy hurdles Some data policy hurdles Weigh up the balance of potential societal value from new innovation ● Flexible principles based approach to privacy ● Informed ‘open consent’ that is flexible ● Enabling cross border data flows Google Confidential and Proprietary

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