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AWS Summit Singapore 2019 | Accelerating ML Adoption with Our New AI services

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Speaker: Ben Snively, Principal Solutions Architect - Data & Analytics, AWS
Note: This is part 2 of the deck.
Adding to the existing AI services, AWS continues to bridge the gap for developers to build ML solutions without the hurdle of having data science expertise. In this session learn about the new services announced at re: Invent (Forecast, Textract and Personalize) and get a preview of what to expect when building time series models, OCR and recommendation engines with little to no data science experience.

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AWS Summit Singapore 2019 | Accelerating ML Adoption with Our New AI services

  1. 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Accelerating ML adoption with our new AI services Ben Snively Specialist Solutions Architect AWS
  2. 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Real-time Works with almost any product or content K E Y F E AT U R E S Responsive to changes in intent Automated machine learning Bring existing algorithms from Amazon SageMaker Deliver high quality recommendations Deep learning enabled algorithms Easy to Use
  3. 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Activity stream Views, signups, conversion, etc. Inventory Videos, products, articles, etc. Customized Personalization APIDemographics (optional) Name, age, location, etc. 1. Load data 2. Inspect data 3. Identify features 4. Select algorithms 5. Select hyperparameters 6. Train models 7. Optimize models 8. Build feature store 9. Deploy and host models 10.Create real-time caches Amazon Personalize Amazon Personalize – How it works
  4. 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon Personalize – Algorithms Use AutoML or pick a pre-defined algorithm • Picking an algorithm: • Choose a pre-existing algorithm (packaged as Personalize Recipes) or • AutoML and Personalize will pick the right recipe for • factorization machine using a deep autoencoder • hierarchical recurrent neural network
  5. 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Amazon Personalize: Real-time data and Batch data ingestion Historical user activity User attributes Item catalog Real-time data Mobile SDKs (coming soon) JavaScript SDK Amazon S3 bucket Server-Side SDKs Offline data Amazon Personalize
  6. 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Deliver personalized recommendations in production Web Application (Serverless/ Containers/E C2/etc..) Browser / Application Inference query Recommendations Recommendation request Recommendations Real-time event data Amazon Personalize
  7. 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Console to monitor and track all the different steps
  8. 8. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo Web Application Browser / Application Inference query Recommendations Recommendation requestRecommendations Real-time event data Amazon Personalize
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon Forecast Accurate time-series forecasting service, based on the same technology used at Amazon.com. No ML Experience Required
  10. 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Predicts spikes accurately! Generates forecasts for new items Learns relationships between multiple related time-series Incorporates external data (holidays, promotions, and so on) Amazon Forecast solves hard problems in forecasting
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Historical data Sales, inventory, pricing, etc. Related data Weather, competitive promotions, etc. 1. Load data 2. Inspect data 3. Identify features 4. Select algorithms 5. Select hyperparameters 6. Train models 7. Optimize models 8. Deploy and host models Amazon Forecast Customized Forecasting API Private Amazon Forecast - How it works
  12. 12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • Amazon Forecast is applicable across multiple domains • You can set your domain using the console or via the API • You upload datasets with different schemas based on the domain Applicable across multiple domains
  13. 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T There are three types of datasets in Amazon Forecast: Item metadataTarget time-series Related time-series Related time- series such as price, web-hits etc. Historic time- series data of items to forecast Attributes of the item such as category, genre and brand Amazon Forecast data ingestions
  14. 14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Diving a little deeper…
  15. 15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Key metrics reported by Amazon Forecast Amazon Forecast creates probabilistic forecasts (that is, forecasts for specific prediction intervals)
  16. 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon Forecast – Algorithms Use AutoML or pick a pre-defined algorithm • Choose a pre-existing algorithm (packaged as Personalize Recipes) or • AutoML and Forecast will pick the right recipe for you • ARIMA
  17. 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T How to add Amazon Forecast to your Application Evaluate accuracy metrics and deploy to production. Visualize results in the console, or export forecasts. Import data from Amazon S3 buckets. Automatically select algorithms through the API or on the console, or choose your own.
  18. 18. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo Data Scientist Amazon SageMaker Jupyter Notebook Amazon Forecast
  19. 19. © 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 The Amazon ML Stack: Broadest & Deepest Set of Capabilities A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D C O M P R E H E N D M E D I C A L L E XR E K O G N I T I O N V I D E O Vision Speech Chatbots A M A Z O N S A G E M A K E R B U I L D T R A I N F O R E C A S TT E X T R A C T P E R S O N A L I Z E D E P L O Y Pre-built algorithms & notebooks Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization ( N E O ) One-click deployment & hosting M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Models without training data (REINFORCEMENT LEARNING)Algorithms & models ( A W S M A R K E T P L A C E ) Language Forecasting Recommendations NEW NEWNEW NEW NEW NEWNEW NEW NEW
  20. 20. Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Ben Snively snivelyb@amazon.com

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