Data Science in the age of Cognitive Computing

Reading & working a lot with cognitive analytics & "new" big data / data system tools the last couple of month I wondered how my profession - Data Science - might change when machines become smarter & smarter and enable business owners to do advanced analytics, e.g. machine learning, on big data themselves....

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1. 29.10.14 The unbelievable Machine Company 1 Data Science in the age of Cognitive Computing!
2. 29.10.14 The unbelievable Machine Company 2 Data Science in the age Cognitive Computing?
3. 29.10.14 The unbelievable Machine Company 3 http://synthexis.com/cognitive-computing/
4. 29.10.14 The unbelievable Machine Company 4 Data Science in the age Data Science?
5. 29.10.14 The unbelievable Machine Company 5 Developer
6. 29.10.14 The unbelievable Machine Company 6 Explorer
7. 29.10.14 The unbelievable Machine Company 7 Business-Enabler
8. 29.10.14 The unbelievable Machine Company 8
9. 29.10.14 The unbelievable Machine Company 9 We came a long way...
10. 29.10.14 The unbelievable Machine Company 10 2010+ We built our tools!
11. 29.10.14 The unbelievable Machine Company 11
12. 29.10.14 The unbelievable Machine Company 12 Today We use our tools!
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15. 29.10.14 The unbelievable Machine Company 15 Tomorrow+?
16. 29.10.14 The unbelievable Machine Company 16 Tomorrow+ We get rid of ourselves?
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22. 29.10.14 The unbelievable Machine Company 22 In comes the new data scientist!
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24. 29.10.14 The unbelievable Machine Company 24 Is there a problem, dude?
25. 29.10.14 The unbelievable Machine Company 25 Perfect – not enough skills on the market anyway, but...
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29. 29.10.14 The unbelievable Machine Company 29 Did the machine understand me?
30. 29.10.14 The unbelievable Machine Company 30 Which data is used?
31. 29.10.14 The unbelievable Machine Company 31 Which algorithms run?
32. 29.10.14 The unbelievable Machine Company 32 Is it „smart“ or just „brute force“?
33. 29.10.14 The unbelievable Machine Company 33 How does the machine learn?
34. 29.10.14 The unbelievable Machine Company 34 Do we end up in a „filter bubble“?
35. 29.10.14 The unbelievable Machine Company 35 What do the results mean?
36. 29.10.14 The unbelievable Machine Company 36 “The accuracy of Smart Autofill (as well as the accuracy of the estimated error) depends on many factors, including the amount and quality of the data provided,” the blog says, as not all datasets will be ideally suited for machine learning.
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38. 29.10.14 The unbelievable Machine Company 38 There is a difference between B2C & B!
39. 29.10.14 The unbelievable Machine Company 39 Data Science will change (again)!
40. 29.10.14 The unbelievable Machine Company 40 First of all there´ll be more & new tools....
41. 29.10.14 The unbelievable Machine Company 41 That said – and open for discussion....
42. 29.10.14 The unbelievable Machine Company 42 Data  Science  today   Data  Science  tomorrow   Developer  –  knowing  data  &   math/stats  &  applications  by   heart   Professional  user  –  act  as  a   „white  layer“  to  the  black  box,   know  &  de<ine  input  and   machine  functionalities   Explorer  –  use  experience  &   skills  to  come  up  with  a   profound  way  to  go  from  data  to   business  value   Interpreter  –  make  sense  of   machine-­‐generated  hypothesis   &  con<idence-­‐weighted  results,   detect  „errors“,  tune  &  re-­‐run   end2end   Business-­‐Enabler  –  connect   business  with  big  data  &  create   relevant  data  products   Business-­‐Supporter  –  support   business  operations  &  be   master  of  the  machines?!  
43. 29.10.14 The unbelievable Machine Company 43 „The data scientist’s job is to empower the cognitive tool, providing guidance, coaching, feedback, and new inputs along the way.“ (http://dupress.com/articles/2014-tech-trends-cognitive-analytics/)
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45. 29.10.14 The unbelievable Machine Company 45 The unbelievable Machine Company GmbH Grolmanstr. 40 10623 Berlin Contact: Klaas Bollhoefer klaas.bollhoefer@unbelievable-machine.com Tel. +49-30-889 26 56 -22 Fax. +49-30-889 26 56 -1 Mobile +49-151-27569582