The document discusses future trends in technology including artificial intelligence, machine learning, and cloud computing. It notes that AI/ML will drive new interaction channels and integration, connectivity, and openness will be key. Everything will increasingly be connected and able to be accessed through APIs. Deep learning will enable more human-like AI capabilities. It promotes experimenting with new technologies.

4. .

5. more rules,
more specialization,
and more efficiency
(optimized for current business model)

6. …

7. Learn and be Curious
Invent and Simplify
Amazon’s
Leadership
Principle
Jeff Bezos
CEO, Amazon.com

11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
SEO U L
A DEVELOPER’S PERSPECTIVE
ON FUTURE TRENDS
Olivier Klein
Head of Emerging Technologies, Asia-Pacific
@captainklein

12. P I O N E E R S O F C L O U D I N N O V A T I O N
S 3 S Q S
API

13. Recent advancements are due to
increasing the speed at which we create

14. Eliminate
Waste
Amplify
Learning
Decide as
late as
possible
Deliver as
fast as
possible
Empower
the Team
Build
Integrity in
See the
whole
Lean
Software
Development

15. Physical
Hardware
Hypervisor Containers Functions

16. Focus on developing your code
without thinking about servers
Pay only for the
compute time you consume
Build event-driven architectures
which react on state changes
Develop locally and deploy with SAM
to scale automatically for the millions

17. Openness helps Adoption

18. Alexa, Hello!

19. Extend capabilities with the help of an
open ecosystem!
Amazon
Echo
Alexa Skill AWS Lambda Facebook Page

20. Deep Learning will enable AI
Eventually everything connects
IoT / Mobile / APIs
Large amounts of data will be
processed in real-time

21. Create an event-driven model
across all your connected
devices using pub/sub
End-to-end security of utmost
importance for every
connected device
More and more devices will
collect data and connect to your
applications

22. Amazon
Lumberyard
AWS Lambda
Alexa Skill
Sphero
Robot
Amazon
Echo
Speakers
Raspberry
Pi
AWS IoT

23. Open ecosystems allow for
broadly integrated solutions

24. Maximizes fuel efficiency and
positively influences driving behavior
Notifies emergency services
in case of a crash
Analyzes data in real-time
and provides diagnostics
Predicts potential vehicle breakdown
and estimates repair costs

25. Traditionally data warehouses had
storage and compute tightly coupled,
an approach not scalable for Big Data
Decouple compute and storage
Query data where it lives, rather
than moving it around

26. B u s i n e s s
I n t e l l i g e n c e
H a d o o p / S p a r k
C l u s t e r s
M a c h i n e
L e a r n i n g
D a t a L a k e o n
A m a z o n S 3
S Q L Q u e r i e s
B u i l t
i n t e g r a t i o n s
T r a n s f o r m

27. Data analytics and processing jobs
can often be run in parallel
How about up to 40 TFLOPS or
80 GB/s throughput? Amazon S3
works great with parallel jobs
PyWren - Run existing Python code
at massive scale via AWS Lambda

28. Evolution of the
Developer

29. Artificially Intelligent
+
+
Unique Individuality
Interact Naturally

30. Mathematics
Statistics
Computer
Science Business

31. SDE à MLE

32. Don’t code the patterns, let
the system learn through data

33. Artificial Intelligence

34. Perform tasks which normally require
human intelligence and the ability for a
computer system to adapt to humans
and interact in a natural manner, rather
than humans adapting to a system

36. 43,252,003,274,489,856,000
43 QUINTILLION
UNIQUE COMBINATIONS

37. Learning
function
95%
accuracy
?
F2 R F R′ B′ D F D′ B D F

38. SOLVED IN 0.9 SECONDS

39. Train a model
positive/negative
reinforcement
Infer from a model to
obtain a prediction
Data
Feedback
Model

40. AWS Deep Learning AMI
A p a c h e
M X N e t
T o r c h
C o g n i t i v e
T o o l k i t
K e r a s
T h e a n o
C a f f e 2
& C a f f e
T e n s o r F l o w
A m a z o n E C 2
A n a c o n d aI n t e l M K L
C U D A &
c u D N N
P y t h o n 2 &
P y t h o n 3

42. Jetson TX2
Train model in the cloud Run model at the edge
AWS
Greengrass
AWS IoT
Tesla V100
120 TFLOPS
Amazon
EC2

43. Polly Rekognition Lex
Life-like Speech Image Analysis Conversational
Engine
DL Frameworks
MXNet, TensorFlow,
Theano, Caffe, Torch
Amazon AI
Intelligent Services Powered By Deep Learning

44. Everything is an API

45. Amazon Rekognition
Amazon Polly
Sphero Robot
AWS IoT
Browser
Webcam

46. Integration, connectivity and openness
are key for successful products
AI/ML will drive new interaction channels

47. Olivier Klein
Head of Emerging Technologies,
Asia-Pacific
@captainklein
I T ’ S N E V E R B E E N A
B E T T E R T I M E
T O E X P E R I M E N T !

52. http://bit.ly/awskr-weekly

54. http://bit.ly/awesome-aws

55. https://www.facebook.com/groups/awskrug/

56. https://slack.awskr.org

57. https://www.meetup.com/awskrug

58. https://aws.amazon.com/heroes