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Introduction to AI on AWS Boaz Ziniman - Technical Evangelist, AWS - PowerPoint PPT Presentation

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Introduction to AI on AWS Boaz Ziniman - Technical Evangelist, AWS @ziniman GPU Technology Conference Tel Aviv October 2017 2006 EC2 & S3 2017 90+ Managed Services Kinesis Streaming Analytics, Mobile Testing, Redshift

  1. Introduction to AI on AWS Boaz Ziniman - Technical Evangelist, AWS @ziniman GPU Technology Conference – Tel Aviv October 2017

  2. 2006 EC2 & S3 2017 90+ Managed Services Kinesis Streaming Analytics, Mobile Testing, Redshift Datawarehouse, Code Deploy/Build Tools, Elastic Container Service, Application Load Balancer, Lambda, API Gateway, DynamoDB, Elastic Map, AI, Reduce (Hadoop/Spark/Presto/etc), Elastic Beanstalk, Elastic Transcoder, RDS, Elasticsearch, IoT, more..

  3. AWS Rapid Pace Of Innovation

  4. Most Fully Featured Technology Platform

  5. The difficulty comes in writing software that will make sense of the data

  6. Artificial Intelligence A system or service which can perform tasks that usually require human intelligence

  10. 25,000 skills

  11. And a few more examples… Fr Fraud detecti ction on Detecting fraudulent transactions, filtering spam emails, flagging suspicious reviews, … Recommending content, predictive content loading, improving Personaliza Pe zation user experience, … Ta Targeted marketing Matching customers and offers, choosing marketing campaigns, cross-selling and up-selling, … Categorizing documents, matching hiring managers and Co Conten ent t classif lassific icatio tion resumes, … Finding customers who are likely to stop using the service, free- Chur Churn n pr predic edictio tion tier upgrade targeting, … Cus Customer mer suppo support Predictive routing of customer emails, social media listening, …

  12. Machine Learning On AWS Today

  13. Amazon AI Ecosystem

  14. Amazon AI Ecosystem

  15. Amazon EC2 P2 Instances General-purpose GPU compute applications. Features: • High Frequency Intel Xeon E5-2686v4 (Broadwell) • High-performance NVIDIA K80 GPUs, each with 2,496 parallel processing cores and 12GiB of GPU memory • Supports GPUDirect™ • Enhanced Networking • EBS-optimized by default at no additional cost Instance Size GPUs GPU Peer to vCPUs Memory Network Peer (GiB) Bandwidth* p2.xlarge 1 - 4 61 1.25Gbps p2.8xlarge 8 Y 32 488 10Gbps p2.16xlarge 16 Y 64 732 20Gbps

  16. Expedia - Ranking Hotel Images • Leading online travel company • How to improve hotels listing images? • Use GPUs and deep learning to rank hotel images • Build a model based on 100K images • How to rank 10M images? • Use data parallelization across multiple GPUs on AWS • Improve ranking time from more than a week to 1 day

  17. Amazon AI Ecosystem

  18. AWS Deep Learning AMIs Amazon Linux & Ubuntu Up to~40k CUDA cores Apach Ap che MX MXNet One-Cl On Click ck TensorFlow Theano Deep Le De Lear arnin ing Keras Caffe CNTK Torch Pre-configured CUDA drivers Anaconda, Python3 Available in the AW Av AWS Out-of-the-box Tutorials Mark Ma rketplace + + CloudF udFormation n templ plate + + Cont ntaine ner Image ge

  19. Amazon AI Ecosystem

  20. Can We Help Customers Put Intelligence At The Heart Of Every Application & Business?

  21. Amazon AI Ecosystem

  22. Artificial Intelligence Services on AWS Pol olly Te Text-to to-Speec Speech

  23. Text In, Life-like Speech Out “Today in Seattle, WA it’s “Today in Seattle Washington it’s 11 ° F” 11 degrees Fahrenheit” Amazon Polly

  24. A Focus On Voice Quality & Pronunciation 1. . Automatic, , Accurate Text Pr Processing “Today in Seattle, WA, it’s 11 ° F” ‘"We live for the music" live from the Madison Square Garden.’

  25. A Focus On Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing 2. . Intelligi gible and Easy to Un Understand

  26. A Focus On Voice Quality & Pronunciation https://www.w3.org/TR/speech-synthesis/ <speak> The spelling of my name is <prosody rate='x-slow'> <say-as interpret-as="characters">Boaz</say-as> </prosody> </speak>

  27. A Focus On Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing 2. Intelligible and Easy to Understand 3. . Add Se Semantic Meaning g to Text “Richard’s number is 2122341237“ “Richard’s number is 2122341237“ Te Telephone Number

  28. A Focus On Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text 4. . Customized Pr Pronunciation “My daughter’s name is Kaja.” “My daughter’s name is Kaja.”

  29. Duolingo voices its language learning service Using Polly “ Spoken language crucial for language learning With Amazon Polly our users • benefit from the most lifelike Accurate pronunciation matters • Text-to-Speech voices available CTO, Duolingo ” Faster iteration thanks to TTS • on the market. Seve Se verin Ha Hacker As good as natural human speech • Duolingo is a free language learning service where users help translate the web and rate translations.

  30. Artificial Intelligence Services on AWS Rek ekog ognition on Im Imag age A e Analy nalysis is

  31. Amazon Rekognition: Images In, Rich Metadata Out Object and scene detection Facial analysis Face comparison Celebrity recognition Image moderation Amazon Rekognition

  32. Object & Scene Detection

  33. Facial Analysis

  34. Celebrity Recognition

  35. Facial Search

  36. Image moderation Explicit Nudity Nudity Graphic Male Nudity Graphic Female Nudity Sexual Activity Partial Nudity Suggestive Female Swimwear or Underwear Male Swimwear or Underwear Revealing Clothes

  37. Amazon Rekognition Customers Digital Asset Management • Media and Entertainment • Travel and Hospitality • Influencer Marketing • Systems Integration • Digital Advertising • Consumer Storage • Law Enforcement • Public Safety • eCommerce • Education •

  38. https://aws.amazon.com/solutions/case-studies/cspan/

  39. Artificial Intelligence Services on AWS Lex ex Co Conv nver ersatio sation Bo Bots ts

  40. Speech Recognition & Natural Language Understanding “What’s t “Wha ’s the he w weathe her r foreca cast?” Weather Forecast Amazon Ama on Lex Automatic Speech Recognition Natural Language Understanding

  41. Speech Recognition & Natural Language Understanding “Wha “What’s t ’s the he w weathe her r foreca cast?” Weather Forecast “I “It w will be be sunny sunny an and 25 ° C” Amazon Ama on Lex Automatic Speech Recognition Natural Language Understanding

  42. Wrap up

  43. Thank You! Boaz Ziniman - Technical Evangelist, AWS @ziniman @AWScloud for Global AWS News & Announcements Local Events: https://aws.amazon.com/events/aws-israel/

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