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

2. Jack Esselink
Data Science & Machine
Learning Evangelist
jack.esselink@nl.ibm.com
@esselinj
http://linkedin.com/in/jackesselink

3. 1. Data
2. Smart
3. How?
DATA IN EXPONENTIAL TIMES

4. Data Information Decision Result

6. https://newsbeezer.com/netherlandseng/a-potato-farmer-who-is-not-allowed-to-fly-his-drone-takes-off-from-the-airport/

7. 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

8. 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.

9. It’s all about data

10. <1%Ginni Rometty CEO IBM @ CES 2019 keynote
of the all the data in the world is collected and analyzed.

11. 1. Data
2. Smart
3. How?
DATA IN EXPONENTIAL TIMES

12. LAW
Moore’s Law
Metcalfe’s Law
Watson’s Law
https://www.ibm.com/events/think/watch/playlist/245840/replay/113771845/

13. “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/

15. https://www.nytimes.com/2018/10/21/business/from-agriculture-to-art-the-ai-wave-sweeps-in.html

16. https://uaecabinet.ae/en/details/cabinet-members/his-excellency-omar-bin-sultan-al-olama

17. Decentralized &
Domain knowledge

18. 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

19. 1. Data
2. Smart
3. How?
DATA IN EXPONENTIAL TIMES

20. 1. AWARENESS
2. Platform
3. Ethics

21. https://www.elementsofai.com/

22. https://www.deeplearning.ai/ai-for-everyone/

23. 42http://www.forbes.com/sites/bernardmarr/2015/08/25/big-data-too-many-answers-not-enough-questions/

24. 1. Awareness
2. PLATFORM
3. Ethics

25. https://sloanreview.mit.edu/article/the-machine-learning-race-is-really-a-data-race/

26. Sharing
Strategy
Collaborate
Agile

27. Hello analytics

28. STORYTELLING IS KEY

29. 1. Awareness
2. Platform
3. ETHICS

30. https://www.businessinsider.nl/amazon-built-ai-to-hire-people-discriminated-against-women-2018-10/?international=true&r=US

31. http://research.ibm.com/artificial-intelligence/trusted-ai/

32. https://www.oreilly.com/tags/data-ethics

33. 1. Data
2. Smart
3. How?
DATA IN EXPONENTIAL TIMES
• Awareness
• Platform
• Ethics

34. © 2017 IBM Corporation34
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