AWS DevDay Seoul 2017 - Keynote
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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.
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AWS DevDay Seoul 2017 - Keynote
- 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
- 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
- 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
- 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
- 31. SDE à MLE
- 32. Don’t code the patterns, let the system learn through data
- 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
- 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 !