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BA and Beyond 19 - Jack Esselink - Mastering data in exponential times

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Data is growing at an exponential pace these days. According to an IBM study 90% of all the world's data has been generated in the last 2 years alone. This offers endless opportunities for organizations to tap into, however reality has it there's lots of room for improvement here. In this session Jack Esselink will discuss the latest developments in data analytics and what pivotal role the Business Analyst can play to leverage data as a strategic asset.

- Why data and analytics matter in these exponential times
- What are the latest developments in the data analytics area (think - AI, deep learning etc)
- What steps should a BA take to become proficient in data analytics

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BA and Beyond 19 - Jack Esselink - Mastering data in exponential times

  1. 1. Jack Esselink Data Science & Machine Learning Evangelist jack.esselink@nl.ibm.com @esselinj http://linkedin.com/in/jackesselink
  2. 2. 1. Data 2. Smart 3. How? DATA IN EXPONENTIAL TIMES
  3. 3. Data Information Decision Result
  4. 4. https://newsbeezer.com/netherlandseng/a-potato-farmer-who-is-not-allowed-to-fly-his-drone-takes-off-from-the-airport/
  5. 5. Digitized Demonetized Dematerialized Democratized Deceptive Disruptive https://singularityhub.com/2016/11/22/the-6-ds-of-tech-disruption-a-guide-to-the-digital-economy/#sm.00146jgjr1bu4e3qyu42mqkqjnj6p 6 Ds
  6. 6. Data Time Available Data Understood Data Enterprise Amnesia 80 million wearable health devices will be available by 2017. 2.5 quintillion bytes of data generated daily by connected machines. There will be 28 times more sensor- enabled devices than people by the year 2020. 25 gigabytes of data per hour is generated by a connected car. 90% of cars will be connected by 2020. 153 exabytes of healthcare data generated by devices in 2013. Increasing to 2,314 exabytes in 2020. 1.7 megabytes of data per second generated by every human being on the planet by 2020.
  7. 7. It’s all about data
  8. 8. <1%Ginni Rometty CEO IBM @ CES 2019 keynote of the all the data in the world is collected and analyzed.
  9. 9. 1. Data 2. Smart 3. How? DATA IN EXPONENTIAL TIMES
  10. 10. LAW Moore’s Law Metcalfe’s Law Watson’s Law https://www.ibm.com/events/think/watch/playlist/245840/replay/113771845/
  11. 11. “Artificial Intelligence is the smartification of the acceleration” Sander Duivestein, trendwatcher at VINT Sogeti the Netherlands http://www.sanderduivestein.com/2017/11/25/artificial-intelligence-is-de-verslimming-van-de-versnelling/
  12. 12. https://www.nytimes.com/2018/10/21/business/from-agriculture-to-art-the-ai-wave-sweeps-in.html
  13. 13. https://uaecabinet.ae/en/details/cabinet-members/his-excellency-omar-bin-sultan-al-olama
  14. 14. Decentralized & Domain knowledge
  15. 15. Human and Machine • Hive mind - act like a swarm • 33% lower error rate than individual radiologists • 22% more accurate than CheXNet (DL algorithm to detect pneumonia from Stanford University) https://www.youtube.com/watch?v=Q5QsbUwD7vw
  16. 16. 1. Data 2. Smart 3. How? DATA IN EXPONENTIAL TIMES
  17. 17. 1. AWARENESS 2. Platform 3. Ethics
  18. 18. https://www.elementsofai.com/
  19. 19. https://www.deeplearning.ai/ai-for-everyone/
  20. 20. 42http://www.forbes.com/sites/bernardmarr/2015/08/25/big-data-too-many-answers-not-enough-questions/
  21. 21. 1. Awareness 2. PLATFORM 3. Ethics
  22. 22. https://sloanreview.mit.edu/article/the-machine-learning-race-is-really-a-data-race/
  23. 23. Sharing Strategy Collaborate Agile
  24. 24. Hello analytics
  25. 25. STORYTELLING IS KEY
  26. 26. 1. Awareness 2. Platform 3. ETHICS
  27. 27. https://www.businessinsider.nl/amazon-built-ai-to-hire-people-discriminated-against-women-2018-10/?international=true&r=US
  28. 28. http://research.ibm.com/artificial-intelligence/trusted-ai/
  29. 29. https://www.oreilly.com/tags/data-ethics
  30. 30. 1. Data 2. Smart 3. How? DATA IN EXPONENTIAL TIMES • Awareness • Platform • Ethics
  31. 31. © 2017 IBM Corporation34 20

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