1. 1. Av ystein Jakobsen for BI, 12.02.2013 oystein.jakobsen@piratpartiet.no
2. 2. Agenda What is Big Data Its prerequisites and technologies involved Who uses it and for what Business Surveilance Research What are its consequences For the individual For society What can be done
3. 3. What is Big Data Bachelor project 2002Transformasjonsalgoritmer for multidimensjonelle databaserMoores law The Internet Virtualization and Utility Computing Transfer of services and data from local instances to centralized services (The Cloud) The internet of things = Vast amounts of data being stored in perpetuity
4. 4. What is Big Data Software and algoriths to find interresting things Transformational algorithms Live analysis tools Voice, face and text recognition Data mining EULA / Terms of Service ...By using this service you agree to... South Park mocking Apple (Low).mp4
5. 5. What is Big Data? Dataminimization Data being used only for its intended purposeDatamaximisation Data being used for as many purposes as possibleThe essence of Big Data is data being used for purposes beyond what it was gathered for
6. 6. Who uses it and for what Requires expensive infrastructure and access to data Business Intelligence / Law enforcement Research institution
7. 7. Business IT service companies Selling targeted ads, personal info, personalizatoin Insurance companies Calculating risk, determining insurance rates Banks and financial services Stock robots, financial trends, fraud detection Infrastructure improvement Roads, comm networks, oil & gas
8. 8. Intelligence / Law Enforcement
9. 9. NSA - Bluffdale in Utah Reported to be capable of storing Yottabytes 1,000 gigabytes is a terabyte. 1,000 terabytes is a petabyte. 1,000 petabytes is an exabyte. 1,000 exabytes is a zettabyte. 1,000 zettabytes is a yottabyte.= 166 terabytes of storage per human being on the planet!
10. 10. The Snowden revelations
11. 11. The Snowden revelations
12. 12. The Snowden revelations
13. 13. Research Climate change Medical research Economic trends Psychology... Anything involving patterns
14. 14. Consequenceshttp://datatilsynet.no/Global/04_planer_rapporter/Big%20Data_web.pdf
15. 15. What can be done www.prism-break.org
16. 16. What can be done https://thedaywefightback.org/international/