Build intelligent applications quickly with AWS AI services - AIM301 - New York AWS Summit

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Build intelligent applications quickly with AWS AI services Randall Hunt Senior Technical Evangelist Amazon Web Services A I M 3 0 1 Nick Walsh Technical Evangelist Amazon Web Services

4. Our mission at AWS Put machine learning in the hands of every developer

5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Why AWS for AI? Broadest and deepest set of AI and ML services for your business Solving the toughest problems holding back ML: cost, ease of use, and data 75% lower inference cost 70% cost reduction in data-labeling “No ML experience required” Unmatched support for the most popular frameworks Built on the most comprehensive cloud platform optimized for ML 85% of TensorFlow projects in the cloud happen on AWS 200+ new features and services since Jan. 2018 AWS holds the top spots on Stanford’s benchmark, for fastest training time, lowest cost, lowest inference latency Deepest set of security and encryption features, with robust analytics capabilities

7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T M L f r a m e w o r k s & i n f r a s t r u c t u r e A I s e r v i c e s Vision | Documents | Speech | Language | Chatbots | Forecasting | Recommendations M L s e r v i c e s Data labeling | Pre-built algorithms & notebooks | One-click training and deployment Build, train, and deploy machine learning models fast Easily add intelligence to applications without machine learning skills Flexibility & choice, highest-performing infrastructure Support for ML frameworks | Compute options purpose-built for ML The Amazon ML stack: Broadest & deepest set of capabilities

8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T AI services A m a z o n R e k o g n i t i o n I m a g e A m a z o n P o l l y A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n L e xA m a z o n R e k o g n i t i o n V i d e o A m a z o n F o r e c a s t A m a z o n T e x t r a c t A m a z o n P e r s o n a l i z e VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML services Amazon SageMaker Ground Truth Notebooks Algorithms + marketplace Reinforcement learning Training Optimization Deployment Hosting ML frameworks & infrastructure Amazon EC2 P3 & P3dn EC2 C5 FPGAs AWS IoT Greengrass Amazon Elastic Inference FRAMEWORKS INTERFACES INFRASTRUCTURE AWS Inferentia EC2 G4 The Amazon ML stack: Broadest & deepest set of capabilities

9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T AI services VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS The Amazon ML stack: Broadest & deepest set of capabilities Pre-trained AI services that require no ML skills or training Easily add intelligence to your existing apps and workflows Quality and accuracy from continuously-learning APIs A m a z o n R e k o g n i t i o n I m a g e A m a z o n R e k o g n i t i o n V i d e o A m a z o n T e x t r a c t A m a z o n P o l l y A m a z o n T r a n s c r i b e A m a z o n T r a n s l a t e A m a z o n C o m p r e h e n d A m a z o n L e x A m a z o n F o r e c a s t A m a z o n P e r s o n a l i z e

10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Polly Use cases Content creation Mobile & desktop applications Internet of Things (IoT) Education & e-learning Telephony Game development Key features 52 voices across 25 languages Lip-syncing & text highlighting Fine-grained voice control Custom vocabularies Available in 14 AWS Regions Turn text into lifelike speech

11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Speaker identification Channel identification Streaming transcription Language support US English US Spanish Australian English Canadian FrenchBritish English Word-level timestamps Punctuation and capitalization Word-level confidence scores Custom vocabularies ItalianBrazilian Portuguese Amazon Transcribe Automatic speech recognition

14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Dozens to hundreds of words per second vs. ~4 per minute for human Speed Translate is nearing human parity based on human evaluations Quality Translate costs 0.07% of human translation on average Cost Amazon Translate Shifting from human to artificial intelligence X300 faster X1,500 85% as good Speed Cost Quality

15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Translate Features 25 languages 595 combinations Real time < 500ms / sentence on average < 150ms / conversational / short form Tag handling XML tags placement maintains styling and formatting through translation < / > Data security Data ownership Encryption Access management Ease of use Simple API calls and partner solutions $15/1M characters Or $0.000075 per word; Pay as you go, 2M characters monthly free tier HIPAA eligible Key features

16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Entities Key phrases Language Sentiment Syntax Grouping C O M P R E H E N D Discover insights and relationships in text Amazon Comprehend

18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T A m a z o n . c o m , I n c . i s l o c a t e d i n S e a t t l e , W A a n d w a s f o u n d e d J u l y 5 t h , 1 9 9 4 b y J e f f B e z o s . O u r c u s t o m e r s l o v e b u y i n g e v e r y t h i n g f r o m b o o k s t o b l e n d e r s a t g r e a t p r i c e s N a m e d E n t i t i e s A m a z o n . c o m : O r g a n i z a t i o n S e a t t l e , W A : L o c a t i o n J u l y 5 , 1 9 9 4 : D a t e J e f f B e z o s : P e r s o n K e y p h r a s e s O u r c u s t o m e r s B o o k s B l e n d e r s G r e a t p r i c e s S e n t i m e n t P o s i t i v e L a n g u a g e E n g l i s h Text analysis Amazon Comprehend

19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Utterances Spoken or typed phrases that invoke your intent Book hotel Intents An intent performs an action in response to natural language user input Slots Slots are input data required to fulfill the intent Fulfillment Fulfillment mechanism for your intent Amazon Lex Conversational interfaces

20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Informational bots Chatbots for everyday consumer requests Application bots Build powerful interfaces to mobile applications News updates Weather information Game scores …. Book tickets Order food Manage bank accounts …. Enterprise productivity bots Streamline enterprise work activities and improve efficiencies Check sales numbers Marketing performance Inventory status …. Internet of Things (IoT) bots Enable conversational interfaces for device interactions Wearables Appliances Auto …. Contact Center bots Chatbots for customer service IVR Account inquiries Bill payment Service update …. Amazon Lex Use cases

23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Customer analysis Analyze trends, not individuals Recognize your customer Verify the identities of customers who opt in Amazon Rekognition Face: Common use cases

24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Recognize your customer Verify the identities of customers who opt in Amazon Rekognition Face: Common use cases

25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Textract Easily extract text and data from virtually any document Text extraction Table extraction Form extraction

26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Popularity trap Naïve models give recommendations similar to popular items Cold starts New users should get relevant recommendations, new items should show in recommendations Scale Recommendations should scale across millions of users and items Real time Personalization must be responsive to the changing user intent Custom models Personalization models must accurately reflect business context and user behavior Amazon Personalize Real-time personalization and recommendation

27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Articles, products, videos, etc. Age, location, etc. Amazon Personalize Customized personalization & recommendation API Views, signups, conversion, etc. Amazon Personalize Real-time personalization and recommendation

28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Customized personalization & recommendation API F u l l y m a n a g e d b y A m a z o n P e r s o n a l i z e Amazon Personalize Inspect data Identify features Select algorithms Select hyperparameters Train models Optimize models Host models Build feature store Create real-time caches Activity stream from app Inventory Demographics (optional) Amazon Personalize Real-time personalization and recommendation

29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Historical data Supply chain, inventory, etc. Customized forecasting API Related “causal” data Weather, special offers, product details Amazon Forecast Amazon Forecast Accurate time-series forecasting

30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Forecast Accurate time-series forecasting Historical data Supply chain, inventory, etc. Customized forecasting API Inspect data Identify features Select from eight algorithms Select hyperparameters Host models Load data Train models Optimize models Related “causal” data Weather, special offers, product details F u l l y m a n a g e d b y A m a z o n F o r e c a s t Amazon Forecast

31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. S U M M I T Amazon Forecast Accurate time-series forecasting Any historical time-series Export to CSV to integrate with SAP and Oracle supply chain Custom forecasts with three clicks Up to 50% more accurate 1/10 the cost Retail demand Travel demand AWS usage Revenue forecasts Web traffic Advertising demand Generate forecasts for:

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