Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

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

346 vues

Publié le

Speaker: Ben Snively, Principal Solutions Architect - Data & Analytics, AWS
Note: This is Part 1 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.

  • Soyez le premier à commenter

  • Soyez le premier à aimer ceci

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. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Other Machine Learning Breakouts 1400-1440: Build, train and deploy Deep Learning models on Amazon SageMaker Pedro Paez 1510-1550: Building Business outcome with Machine Learning on AWS Barnam Bora 1620-1700: Internet of Things - beyond the Hype Timothee Cruse
  3. 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon AI Services easily integrate with your applications to address common use cases such as time series forecasting, document analysis, personalized recommendations and others. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously- learning APIs with little to no data science experience
  4. 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark 2019 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 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 Language 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 T Forecasting T E X T R A C T Recommendations D E P L O Y Pre-built algorithms Data labeling (G R O U N D T R U T H ) One-click model training & tuning Optimization (N E O ) 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 Reinforcement learning Algorithms & models ( A W S M A R K E T P L A C E F O R M A C H I N E L E A R N I N G ) I N F E R E N T I A Notebook Hosting One-click deployment & hosting Auto-scaling Virtual Private Cloud Private Link Elastic Inference integration Hyper Parameter Optimization P E R S O N A L I Z E
  5. 5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon Textract Automatically extract text and data from scanned documents and go beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
  6. 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Documents and Forms can be complicated… …not a single corresponding pixel value in common
  7. 7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Text extraction Table extraction Form extraction Amazon Textract
  8. 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Blocks: PAGE, PARAGRAPH, LINE, WORD is washed by waves, and cooled Text extraction Table extraction Form extraction Amazon Textract
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Name Description Blocks List of blocks identified from the document ID Unique ID of the unit Relationships CHILD Block type PAGE, PARAGRAPH, LINE, WORD Pages Contains number of pages in the document Name Description Document Blob or Amazon S3 object Text extraction Table extraction Form extraction Amazon Textract
  10. 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Blocks: PAGE, TABLE, CELL For each ’block’ you get: • Text • Confidence score • Block relationships (e.g. cells within a table) Text extraction Table extraction Form extraction Amazon Textract
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Name Description Document Blob or Amazon S3 object FeatureTypes TABLES Name Description Blocks List of blocks identified from the document ID Unique ID of the unit Relationships CHILD Block type PAGE, TABLE, CELL Pages Contains number of pages in the document Text extraction Table extraction Form extraction Amazon Textract
  12. 12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Blocks: PAGE, KEY_VALUE_SET For each ’block’ of your document: • Form field name (key) and field value (value) association • Confidence score • Page number • Block relationships Text extraction Table extraction Form extraction Amazon Textract
  13. 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Name Description Document Blob or Amazon S3 object FeatureTypes FORMS Name Description Blocks List of blocks identified from the document ID Unique ID of the unit Relationships KEY, VALUE, CHILD Block type PAGE, KEY_VALUE_SET Pages Contains number of pages in the document Text extraction Table extraction Form extraction Amazon Textract
  14. 14. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Input Uploaded document images of notes, explanation of benefits, and forms Amazon S3 Uploaded documents are stored in S3 NLP Use natural language processing to extract insights from documents Amazon Elasticsearch Service Easily search through extracted data and text insights Output Discover insights to improve services Amazon Textract Automatically extract words and lines of text, and tables
  15. 15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Amazon Personalize Batch or Real-time personalization and recommendation service. No ML experience required.

×