~/talk

Are you really safe?

Talkat Rise of AI Conference 2019 · on Thursday, 2019-05-16· [large-language-models, security]
links:none on file
slides:none on file

Company AVA aggregates thousands of data sources into a single risk score that combines past, present and predictive models for locations worldwide. System claims detection of the 2017 London Bridge incident 4 minutes before traditional procedures and hourly crime forecasting with an error of ~5% (predicting 15 stabbings versus 14–16 observed). Tools include social media trust scoring, mobile cell network anomaly detection, radio dispatch transcription, ambient audio and gunshot triangulation tested in Barcelona to pinpoint incidents in real time.

AI-written summary · about

  1. 0:00Introduction
  2. 4:48AVA Risk Score
  3. 6:34Context Sensitive
  4. 7:57Data
  5. 9:34Incident risk prediction
  6. 10:40Deep contextualization
  7. 11:50Digital media monitoring
  8. 15:20Trust scoring
  9. 16:12Personal data
  10. 17:26Listening to police
  11. 19:16Ambient audio detection
  12. 19:54Audio triangulation
  13. 21:06Cameras
  14. 23:16Repeat Patterns
  15. 24:22Additional Information
  16. 25:00Field Staff
  17. 25:21SDK
  18. 25:52Data influence
  19. 26:13Financial markets
  20. 26:24Hotels
  21. 26:53Thank you
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