WAW#3

1. Getting insights
Intelligent Analysis in the Cloud

2. Machine Learning Cloud
My last 11 years
PhD and research
Analyst
ML Specialist
Became Data Engineer on
Google Cloud Platform

3. What Where
Why How

4. What

5. Your Cloud providers

6. What is in the Cloud

7. What is in the Cloud
Virtual Machines File storage
ML APIs
Data processing
Serverless services
Databases

8. Where
Why How
What

9. Where

10. Google Analytics takes you a long way

11. Automatic
data
activation
Analysis of
unstructured
data
Advanced
analysis
Beyond GA

12. Advanced analysis

13. Datalake

14. Analysis of unstructured data
(text, images, audio & video)

15. Text Analysis

16. Automatic data activation

17. Intelligent Prefetching
/home /about /cases
/about /cases

18. Where
Why How
What

19. Why

20. Optimal hardware & usable services

22. Scalability
Q1 2017 Q2 2017 Q3 2017 Q4 2017 Q1 2018 Q2 2018

23. Where
How
What
Why

24. How

25. Management on Web UI

26. Management on Web UI
Tools
Projects
Errors Usage Cost

27. https://cloud.google.com/vision/

28. https://cloud.google.com/vision/

29. https://cloud.google.com/vision/

30. Scripts to connect components

31. Road ahead: no scripting?
Data prep Auto ML

32. WhereWhat
Why How

33. GA is not
enough
One-stop
tool shop
HW can be
boring &
messy
UI & scripts

34. Copenhagen
Artillerivej 86
2300 København S
+45 70 20 29 19
Stockholm
Strandvägen 7A
114 56 Stockholm
+45 70 20 29 19
London
43A Southend Road
BR3 1SP. London
+45 70 20 29 19
Oslo
CJ Hambros plass 2
N-0164 Oslo
+45 70 20 29 19
Thank you!
Héctor P. Martínez
hector@iihnordic.com
in/hectorpmartinez