We are currently experiencing a great moment in computer history: the transition of digital uses from descriptive (web interface, business intelligence…) to prescriptive (chatbots, voice assistant, Recommendation…). This upheaval is brought about by the revival of Artificial Intelligence techniques (machine learning/deep learning) made possible by the explosion of Artificial Intelligence data. As a result, the development profession will also undergo real changes over the next few years in order to meet new market needs. It is therefore interesting to take an interest in these issues today so as not to be caught short in the near future. This information will help you to navigate the world of Artificial Intelligence concepts, engines, and architectures to allow you demistify all the “myths” around it.

1. What Every programmer has to know
about AI ?
Bill METANGMO – Data engineer
22/03/2018

2. About me
• Cameroon
• Design & development of an AI Platform to support
heterogeneous infrastructure
• Convergence between Supercomputing and AI
• Social networks: @BillMetangmo

3. Why this presentation matters ?
We will try to get an intuitive understanding of Artificial Intelligence
concepts and its impact on software development

5. Our judgment of reality is often based on cognitive biases
In our collective unconscious,
it most often looks like this
What is an Artificial Intelligence ?

6. The meaning of a word is contextual ( knowledge domain)
Machine that runs a program
What is a computer ?
( Computer science domain )
What is not a computer ?
( other domain(s) )
A computer is a laptop/desktop

7. Our definition of AI will be valid only in computer science
A computer would deserve to be called intelligent
if it could deceive a human into believing that it
was human.
Alan Turing
Turing test

8. But our smartphones are full
of apps from companies
(mainly GAFA) that argue to
use AI but I can differentiate
them from humans

9. AI definition proposal for current enterprise application
programmer
An artificial intelligence is an
application where all or part of the
business logic is based on functions
written by a computer.

10. Which of these applications is an AI ?
Facebook messenger assistant Google voice assistant

11. Without AI functions, enterprise application updates have
huge cost

12. An artificial intelligence manage most changing parts of
application : more flexibility

13. But what are the needs to build an application that produces
Knowledge ?

14. Human can gain Knowledge from Experience, it is necessary to understand
how it works to build an application which can learn

15. We will try to help this child to be able
to find the solution of the previous
quiz by herself

19. Great teachers

20. And what if we try to understand what’s
going on inside her brain

21. Each time she faces this problem; the region is activated
in her brain

24. Neural networks optimization are resource-intensive due to huge matrix
multiplication
MNIST database of handwritten digits = 60 000 images for training with 28*28 pixels

26. CPU is by far the most suitable for programmer everyday tasks :
listen to music while programming and chatting …
CPU is by far the best solution for most applications:
get users input while processing inputs and generating logs …
4 instructions in 4 cycles
GPU gets the instruction to execute from CPU !!
4 instructions in 4 cycles
3 unused PU

27. How an AI team works?

30. Focus on Data Exploration
Q: What happens when the number data science projects grows ?
A: The same than when the number of application a programmer works grow:
increasing the time from ideas to code development
• Deal with installation/configuration issues
• Heterogeneous infrastructure: external(cloud) or internal
• Dependency management for each application

31. Focus on Data Exploration
The solution already exists in traditional software development: Platform as a Service.
Not reinventing the wheel !
Web giants
• Uber
Michelangelo
• Facebook
FBLearner Flow
• Google
Tensorflow
extended
• Twitter Cortex
• ….
Cloud providers
• Amazon
SageMaker
• Microsoft AI
platform
• Google Cloud AI
• Oracle AI
Platform
• ….
Hadoop
distributors
• Cloudera
datascience
workbench
• MapR
Datascience
refinery
• Hortonworks
Data Cloud
• …
Supercomputing
leaders
• IBM Power AI
• HP Deep learning
solutions
• Atos AI platform
• ….

32. Supercomputers matters in AI because of very efficient
communication optimizations
• Data exchange from NIC to NIC : Infiniband instead of ethernet
lower latency
• Data exchange from app to app : Remote direct memory access (RDMA)
zero copy between user space and kernel space

33. Atos AI platform current architecture
Orchestrator
fast application deployment on multiple environments
Studio
Cognitive application development self-service
Forge
common workplace where to store, share, retrieve and update
Supercomputers
https://github.com/ystia/yorc

34. Conclusion
1. An artificial intelligence is also an application
2. The machine learning techniques are based on
human learning process with experience
3. Its programmers also needs a platform to
leverage their experience
@BillMetangmo

35. Photo Credits
• Slide 1 : Photo by Andy Kelly on Unsplash
• Slide 3 : Photo by Emily Morter on Unsplash
• Slide 4: https://www.magicalquote.com/seriesquotes/intuitions-are-not-to-be-ignored-john/
• Slide 5: Photo by Franck Veschi on Unsplash
• Slide 6: Photo by freestocks.org on Unsplash
• Slide 6: Photo by Franck Veschi on Unsplash
• Slide 7: https://upload.wikimedia.org/wikipedia/commons/e/e4/Turing_Test_version_3.png
• Slide 8: Photo by Stephen Frank on Unsplash
• Slide 9: https://www.codeproject.com/Articles/36847/Three-Layer-Architecture-in-C-NET
• Slide 10: https://media.giphy.com/media/qgFvTRIySNIC4/giphy-downsized.gif
• Slide 10: https://media.giphy.com/media/AvtBTzphrKqfm/giphy-downsized.gif
• Slide 13: Photo by Zhipeng Ya on Unsplash
• Slide 15: Photo by pan xiaozhen on Unsplash
• Slide 19: Photo by Zachary Nelson on Unsplash
• Slide 20: Photo by jesse orrico on Unsplash
• Slide 20: https://media.giphy.com/media/l0HlEEwgZfgqfH70c/giphy.gif
• Slide 21: https://i.giphy.com/media/HmNw5GoyPtaZa/giphy.gif
• Slide 25: https://en.wikipedia.org/wiki/Flynn%27s_taxonomy
• Slide 26: https://gph.is/1c0yaay
• Slide 27: https://jopwellcollection.jopwell.com/internedition/
• Slide 30: https://media.giphy.com/media/3o6Zt7Esrorq22OiGY/giphy-downsized.gif
• Slide 32: http://searchstorage.techtarget.com/definition/Remote-Direct-Memory-Access
• Slide 34: Photo by Jason Wong on Unsplash