Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Viewers also liked (20)
Similar to Introduction to Artificial Intelligence (AI) at Amazon
Similar to Introduction to Artificial Intelligence (AI) at Amazon (20)
Recently uploaded
Recently uploaded (20)
Introduction to Artificial Intelligence (AI) at Amazon
- 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. David Pearson Technical Business Development Jan 2017 AI and Deep Learning at Amazon
- 2. A Flywheel For Data More Data Better Analytics
- 3. A Flywheel For Data Better Products More Data Better Analytics
- 4. A Flywheel For Data More Users Better Products More Data Better Analytics
- 5. A Flywheel For Data Click stream User activity Generated content Purchases Clicks Likes Sensor data More Users Better Products More Data Better Analytics
- 6. A Flywheel For Data Click stream User activity Generated content Purchases Clicks Likes Sensor data Object Storage Databases Data warehouse Streaming analytics BI Hadoop Spark/Presto Elasticsearch More Users Better Products More Data Better Analytics
- 7. A Flywheel For Data Click stream User activity Generated content Purchases Clicks Likes Sensor data Object Storage Databases Data warehouse Streaming analytics BI Hadoop Spark/Presto Elasticsearch Artificial Intelligence More Users Better Products More Data Better Analytics
- 9. Artificial Intelligence At Amazon Thousands Of Employees Across The Company Focused on AI Discovery & Search Fulfilment & Logistics Enhance Existing Products Define New Categories Of Products Bring Machine Learning To All
- 11. Amazon Streams
- 12. AI on AWS Today • Zillow –Zestimate (using Apache Spark) • Howard Hughes Corp –Lead scoring for luxury real estate purchase predictions • FINRA –Anomaly detection, sequence matching, regression analysis, network/tribe analysis • Netflix –Recommendation engine • Pinterest –Image recognition search • Fraud.net –Detect online payment fraud • DataXu –Leverage automated & unattended ML at large scale (Amazon EMR + Spark) • Mapillary –Computer vision for crowd sourced maps • Hudl –Predictive analytics on sports plays • Upserve –Restaurant table mgmt & POS for forecasting customer traffic • TuSimple –Computer Vision for Autonomous Driving • Clarifai – Computer Vision APIs
- 13. The Advent Of Deep Learning Algorithms
- 14. The Advent Of Deep Learning Data Algorithms
- 15. The Advent Of Deep Learning Data GPUs & Acceleration Algorithms
- 16. The Advent Of Deep Learning Data GPUs & Acceleration Programming models Algorithms
- 17. A Stack for ML/DL Applications Managed API Services ML Platform (Data Science Environment) - Notebooks, Model Hosting and Retraining DL Engine – MXNet, NeMo, TesorFlow, Caffe, Torch, Theano Hardware – Distributed Computing, GPU, FPGA CONTROL USABILITY&SIMPLICITY
- 18. EC2 P2 Instance | Up to 16 GPUs Up to 8 NVIDIA Tesla K80 Accelerators, each running a pair of NVIDIA GK210 GPUs Each GPU provides 12 GiB of memory (accessible via 240 GB/second of memory bandwidth), and 2,496 parallel processing cores. Currently available in PDX, IAD, DUB, and GovCloud Regions Instance Name GPU Count vCPU Count Memory Parallel Processing Cores GPU Memory Network Performance p2.xlarge 1 4 61 GiB 2,496 12 GiB High p2.8xlarge 8 32 488 GiB 19,968 96 GiB 10 Gigabit p2.16xlarge 16 64 732 GiB 39,936 192 GiB 20 Gigabit
- 19. One-Click GPU Deep Learning AWS Deep Learning AMI Up to~40k CUDA cores MXNet TensorFlow Theano Caffe Torch Pre-configured CUDA drivers Anaconda, Python3 + CloudFormation template + Container Image
- 20. MXNet: Scalable Deep Learning Framework
- 21. Deep Learning Applications “deep learning” trend in the past 10 years image understanding speech recognition natural language processing … autonomy
- 22. DL Applications on AWS Realtime detection and tracking on TX1 ~10 frame/sec with 640x480 resolution BlindTool by Joseph Paul Cohen demo on Nexus 4
- 23. Can We Help Customers Put Intelligence At The Heart Of Every Application & Business?
- 24. Amazon AI Intelligent Services Powered By Deep Learning
- 25. Amazon AI: Three New Deep Learning Services Polly Life-like Speech
- 26. Amazon AI: Three New Deep Learning Services Rekognition Life-like Speech Image Analysis Polly
- 27. Amazon AI: Three New Deep Learning Services Rekognition Lex Life-like Speech Image Analysis Conversational Engine Polly
- 28. Amazon AI: Three New Deep Learning Services Polly Rekognition Lex Life-like Speech Image Analysis Conversational Engine
- 29. The Advent Of Conversational Interactions 1st Gen: Machine-oriented interactions
- 30. The Advent Of Conversational Interactions 1st Gen: Machine-oriented interactions 2nd Gen: Control-oriented & translated
- 31. The Advent Of Conversational Interactions 1st Gen: Machine-oriented interactions 2nd Gen: Control-oriented & translated 3rd Gen: Intent-oriented
- 32. Lex: Build Natural, Conversational Interactions In Voice & Text Voice & Text “Chatbots” Powers Alexa Voice interactions on mobile, web & devices Text interaction with Slack & Messenger Enterprise Connectors (with more coming) Salesforce Microsoft Dynamics Marketo Zendesk Quickbooks Hubspot
- 34. Origin Destination Departure Date Flight Booking “Book a flight to London”
- 35. Origin Destination Departure Date Flight Booking “Book a flight to London” Automatic Speech Recognition Book Flight London
- 36. Origin Destination Departure Date Flight Booking “Book a flight to London” Automatic Speech Recognition Natural Language Understanding Book Flight London Utterances Flight booking London Heathrow Intent / Slot model
- 37. Origin Destination London Heathrow Departure Date Flight Booking “Book a flight to London” Automatic Speech Recognition Natural Language Understanding Book Flight London Utterances Flight booking London Heathrow Intent / Slot model
- 38. Origin Seattle Destination London Heathrow Departure Date Flight Booking “Book a flight to London” Automatic Speech Recognition Natural Language Understanding Book Flight London Utterances Flight booking London Heathrow LocationLocation Intent / Slot model
- 39. Origin Seattle Destination London Heathrow Departure Date Flight Booking “Book a flight to London” Automatic Speech Recognition Natural Language Understanding Book Flight London Utterances Flight booking London Heathrow Prompt LocationLocation “When would you like to fly?” Intent / Slot model
- 40. Origin Seattle Destination London Heathrow Departure Date Flight Booking “Book a flight to London” Automatic Speech Recognition Natural Language Understanding Book Flight London Utterances Flight booking London Heathrow Prompt LocationLocation “When would you like to fly?” “When would you like to fly?” Polly Intent / Slot model
- 41. Origin Seattle Destination London Heathrow Departure Date Flight Booking “Next Friday” “When would you like to fly?”
- 42. Origin Seattle Destination London Heathrow Departure Date Flight Booking “Next Friday” Automatic Speech Recognition Next Friday
- 43. Origin Seattle Destination London Heathrow Departure Date 11/18/2016 Flight Booking “Next Friday” Automatic Speech Recognition Natural Language Understanding Next Friday Utterances Flight booking 11/18/2016 Intent / Slot model
- 44. Origin Seattle Destination London Heathrow Departure Date 11/18/2016 Flight Booking “Next Friday” Automatic Speech Recognition Natural Language Understanding Next Friday Utterances Flight booking 11/18/2016 Intent / Slot model
- 45. Origin Seattle Destination London Heathrow Departure Date 11/18/2016 Flight Booking “Next Friday” Automatic Speech Recognition Natural Language Understanding Next Friday Utterances Flight booking 11/18/2016 Confirmation “Your flight is booked for next Friday” Intent / Slot model
- 46. Origin Seattle Destination London Heathrow Departure Date 11/18/2016 Flight Booking “Next Friday” Automatic Speech Recognition Natural Language Understanding Next Friday Intent / Slot model Utterances Flight booking 11/18/2016 “Your flight is booked for next Friday” Confirmation “Your flight is booked for next Friday” Polly
- 47. Origin Seattle Destination London Heathrow Departure Date 11/18/2016 Flight Booking “Next Friday” Automatic Speech Recognition Natural Language Understanding Next Friday Grammar Graph Utterances Flight booking 11/18/2016 Hotel Booking
- 48. High quality, through best-in-class deep learning Deep functionality Easy to use & thoughtfully integrated Built for production Low cost Lex: Build Natural, Conversational Interactions In Voice & Text
- 49. Amazon AI: Three New Deep Learning Services Polly Rekognition Lex Life-like Speech Image Analysis Conversational Engine
- 50. Polly: Life-like Speech Service Converts text to life-like speech 47 voices 24 languages Low latency, real time Fully managed
- 51. Let’s hear from Polly..
- 52. “Today in Seattle, WA, it’s 11°F” ‘"We live for the music" live from the Madison Square Garden.’ 1. Automatic, Accurate Text Processing Polly: A Focus On Voice Quality & Pronunciation
- 53. Polly: A Focus On Voice Quality & Pronunciation 2. Intelligible and Easy to Understand 1. Automatic, Accurate Text Processing
- 54. 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text “Richard’s number is 2122341237“ “Richard’s number is 2122341237“ Telephone Number Polly: A Focus On Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing
- 55. 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text 4. Customized Pronunciation “My last name is Nguyen.” Polly: A Focus On Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing “My last name is Nguyen.”
- 56. Polly: Life-like Speech Service High quality, through best-in-class deep learning Deep functionality Easy to use & thoughtfully integrated Built for production Low cost
- 57. Amazon AI: Three New Deep Learning Services Polly Rekognition Lex Life-like Speech Image Analysis Conversational Engine
- 58. Rekognition: Search & Understand Visual Content Real-time & batch image analysis Object & Scene Detection Face Comparison Face SearchFacial Analysis
- 59. Object and Scene Detection Search, filter, and curate image libraries Smart searches for user generated content Photo, travel, real estate, vacation rental applications
- 60. Avoid faces when cropping images and overlaying ads Capture user demographics and sentiment Recommend the best photos Improve online dating match recommendations Dynamic, personalized ads Facial Analysis
- 61. Face Comparison Add face verification to applications and devices Extend physical security controls Provide guest access to VIP-only facilities Verify users for online exams and polls
- 62. Facial Recognition Add friend tagging to social and messaging apps Assist public safety officers find missing persons Identify employees as they access sensitive locations Identify celebrities in historical image archives
- 63. Early Feedback “it is all very exciting and it was shocking how easy it was to set up” “Rekognition simplifies the process of tagging and organizing end users’ photos to help them quickly find relevant images.” - RealNetworks
- 64. High quality, through best-in-class deep learning Deep functionality Easy to use & thoughtfully integrated Built for production Low cost Rekognition: Search & Understand Visual Content
- 65. Amazon AI: New Deep Learning Services Polly Rekognition Lex Life-like Speech Image Analysis Conversational Engine Deep Learning Frameworks MxNet, TensorFlow, Theano, Caffe, Torch