Innovating with AI and Machine Learning

Transcript

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Innovating with AI and Machine Learning Sébastien Stormacq Developer Advocate Amazon Web Services @sebsto
2. AI is the centerpiece for digital transformation Customer experience Business operations Decision making Innovation Competitive advantage of digital transformation initiatives supported by AI in 2019 40%
3. Amazon.com,1995
9. Machine Learning at Amazon.com RE T AI L Demand Forecasting Vendor Lead Time Prediction Pricing Packaging Substitute Prediction CUS T OM E RS Recommendation Product Search Product Ads Shopping Advice Customer Problem Detection S E L L E RS Fraud Detection Predictive Help Seller Search & Crawling CAT AL OGUE Browse-Node Classification Meta-data Validation Review Analysis Product Matching T E X T In-Book Search Named-entity Extraction Summarization/X-ray Plagiarism Detection I MAGE S Visual Search Product Image Enhancement Brand Tracking
10. Our mission at AWS Put machine learning in the hands of every developer
11. Our Approach for Machine Learning Customer-focused 90%+ of our ML roadmap is defined by customers Multi-framework Support for the most popular frameworks Pace of innovation 200+ new ML launches and major feature updates in the last year Breadth and depth A wide range of AI and ML services in- production Security and analytics Deep set of security and encryption features, with robust analytics capabilities Embedded R&D Customer-centric approach to advancing the state of the art
12. 10,000+ customers | 2x the customer references FINRA Expedia Group
13. FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services Broadest and deepest set of capabilities T h e A W S M L S t a c k VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 C O M P R E H E N D M E D I C A L 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 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 E R S O N A L I Z E Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment Hosting Amazon SageMaker F P G A s E C 2 P 3 & P 3 D N E C 2 G 4 E C 2 C 5 A W S I N F E R E N T I A A W S I o T G R E E N G R A S S A M A Z O N E L A S T I C I N F E R E N C E A W S D L C O N T A I N E R S & A M I s A M A Z O N E L A S T I C K U B E R N E T E S S E R V I C E A M A Z O N E L A S T I C C O N T A I N E R S E R V I C E
14. Where can we find reference implementations applying ML to business problems?
15. AWS solutions for machine learning Vetted, technical reference implementations designed to help you solve common problems and build faster • Detailed architecture • Deployment guide • Instructions for both automated and manual deployment https://aws.amazon.com/solutions/
16. Where can we find off-the-shelf algorithms and models?
17. AWS Marketplace for Machine Learning • Algorithms and model packages • Deploy directly on Amazon SageMaker through a Jupyter Notebook, Amazon SageMaker SDK, or AWS CLI • Free, free trial, or paid • Pay as you go https://aws.amazon.com/marketplace/solutions/machinelearning/
18. Can we just call APIs and get the job done?
19. FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services Broadest and deepest set of capabilities T h e A W S M L S t a c k VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 C O M P R E H E N D M E D I C A L 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 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 E R S O N A L I Z E Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment Hosting Amazon SageMaker F P G A s E C 2 P 3 & P 3 D N E C 2 G 4 E C 2 C 5 A W S I N F E R E N T I A A W S I o T G R E E N G R A S S A M A Z O N E L A S T I C I N F E R E N C E A W S D L C O N T A I N E R S & A M I s A M A Z O N E L A S T I C K U B E R N E T E S S E R V I C E A M A Z O N E L A S T I C C O N T A I N E R S E R V I C E
20. Every organization has tons of documents to process. Can we make OCR smarter?
21. Amazon Textract Extract text and data from virtually any document https://aws.amazon.com/blogs/machine-learning/automatically-extract-text-and-structured-data-from- documents-with-amazon-textract/ K E Y F E A T U R E S Optical character recognition (OCR) Key-value pair detection Adjustable confidence thresholds Table detection Bounding box coordinates No ML experience required
22. Voice is the interface of the future. Can text-to-speech sound even more lifelike?
23. Confidential US English Matthew voice “Sources tell CNN he believes the media and the northeast elite are needlessly hyperventilating and overreacting to his comments.” US English Joanna voice “President Donald Trump said on March 13 his administration was ordering the grounding of all Max 8 and 9 models, hours after Canada said it was grounding the planes after analyzing new satellite tracking data.” Amazon Polly NTTS and newscaster style https://aws.amazon.com/blogs/aws/amazon-polly-introduces-neural-text-to-speech-and-newscaster-style/
24. Scaling FICO Customer Communication Services https://www.youtube.com/watch?v=OhLrxGw-zJA
25. Many organizations want to personalize the user experience
26. 30% of page views on Amazon 80% of views on Netflix Personalization offers material business results
27. Amazon Personalize Improve customer experiences with personalization and recommendations K E Y F E AT U R E S Simple data schemas Pre-defined or custom recipes Automated machine learning and tuning Fully-managed infrastructure Based on the technology used at Amazon.com
28. Personalizing customer experiences Domino’s uses Amazon Personalize to customize and scale relevant marketing communications to customers based on time, context, and content, thereby improving and enhancing their experience with the Domino’s brand.
29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
30. FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services https://ml.aws T h e A W S M L S t a c k VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 C O M P R E H E N D M E D I C A L 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 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 E R S O N A L I Z E Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment Hosting Amazon SageMaker F P G A s E C 2 P 3 & P 3 D N E C 2 G 4 E C 2 C 5 A W S I N F E R E N T I A A W S I o T G R E E N G R A S S A M A Z O N E L A S T I C I N F E R E N C E A W S D L C O N T A I N E R S & A M I s A M A Z O N E L A S T I C K U B E R N E T E S S E R V I C E A M A Z O N E L A S T I C C O N T A I N E R S E R V I C E
31. Thank you! © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Sébastien Stormacq Developer Advocate Amazon Web Services @sebsto