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Data Con LA 2022 - Improving disaster response with machine learning

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Data Con LA 2022 Keynotes
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Data Con LA 2022 - Improving disaster response with machine learning

Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS
The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.

Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS
The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.

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Data Con LA 2022 - Improving disaster response with machine learning

  1. 1. Improving disaster response with machine learning Antje Barth Principal Developer Advocate, AI/ML AWS Chris Fregly Principal Specialist SA, AI/ML AWS
  2. 2. Natural disasters increase in frequency and severity Pressure on organizations involved Technology and/or financial barriers
  3. 3. AWS Disaster Preparedness and Response program Contributing technology solutions Providing subject matter and technology expertise Contributing resources, such as AWS credits and volunteers
  4. 4. Use case: Edge storage for data transfer/critical information backup
  5. 5. Supporting Help.ngo with AWS edge compute Hurricane Dorian response in the Bahamas
  6. 6. AI/ML in the context of disaster response and relief efforts
  7. 7. The AWS Disaster Response Hackathon awsdisasterresponse.devpost.com Challenge: Improve disaster response with machine learning December 1, 2021 through February 7, 2022 Total of $54,000 USD in prizes
  8. 8. Hackathon results 1,488 participants 80+ countries 42 project submissions
  9. 9. Starting place for ML coders studiolab.sagemaker.aws Am azon SageMaker Studio Lab Learn and experiment with ML using free, no-configuration notebooks in the cloud
  10. 10. Winning projects Popular datasets, ML tools and frameworks
  11. 11. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  12. 12. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  13. 13. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  14. 14. Wildfire mitigation: Computer vision ID of hazard fuels Quickly identify and respond to tree disease and mortality using computer vision model to ID diseased and dead trees from open -source available Landsat data. devpost.com/software/wildfire -mitigation -computer -vision-id-of- hazard-fuels github.com/MarjorieRWillner/DisasterHack
  15. 15. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  16. 16. Thunderstorm prediction using ML Find correlations between the atmospheric conditions at the time of the lightning strike to predict the occurrence of lightning and thunderstorms. devpost.com/software/lighting -prediction -in-india-using-ml github.com/suryaremanan/Thunderstorm -Prediction -Using-ML
  17. 17. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  18. 18. Global fire spread prediction system The tech team at Satellite Vu applied their knowledge of wildfires, satellite imagery, and machine learning to demonstrate a fire spread prediction system. devpost.com/software/global -fire-spread-prediction -system github.com/SatelliteVu/SatelliteVu -AWS-Disaster-Response -Hackathon
  19. 19. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  20. 20. DisaVu Direct relief resources to where they are needed most using a sophisticated machine learning approach. devpost.com/software/disavu github.com/SrzStephen/DisaVu
  21. 21. Prevention and mitigation Preparedness Response Rehabilitation and recovery The disaster lifecycle Disaster/ crisis
  22. 22. Soteria Use machine learning with satellite imagery to map natural disaster impacts for faster emergency response. devpost.com/software/soteria -yolciw github.com/Soteria -ai/Soteria
  23. 23. Explore more hackathon projects…
  24. 24. Explore more hackathon projects awsdisasterresponse.devpost.com/project -gallery
  25. 25. Run the sample code studiolab.sagemaker.aws Am azon SageMaker Studio Lab Learn and experiment with ML using free, no-configuration notebooks in the cloud
  26. 26. Learn how to get started with data science and ML on AWS
  27. 27. Practical data science specialization coursera.org/specializations/practical -data-science Practical Data Science on the AWS Cloud Specialization 3 courses 10 weeks of content Video lectures, quizzes, hands-on labs
  28. 28. Book recommendation: O’Reilly, Data Science on AWS datascienceonaws.com Data Science on AWS: Implementing End-to -End, Continuous AI and ML Pipelines 12 chapters 500 pages Hundreds of code samples
  29. 29. Additional resources AWS Disaster Response Learn more about AWS Disaster Response efforts AWS Disaster Response Hackathon - Project Gallery Browse the hackathon projects and code repos Data Science on AWS Learn how to get started with data science and AI/ML on AWS Amazon SageMaker Studio Lab Learn and experiment with ML using a no -setup, free development environment github.com/data -science-on-aws/data -science-on-aws youtube.datascienceonaws.com
  30. 30. Thank you! Antje Barth @anbarth antje-barth Chris Fregly @cfregly cfregly

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