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Human in the Loop Active Learning with Amazon Augmented AI - Collision Conference - June 2020

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Collision from Home brings together the people and companies redefining the global tech industry. Think of it like working from home: participants will join the event online from their living room

Human-in-the-Loop Active Learning with Augmented AI

AGENDA

* Why Choose AWS for AI and Machine Learning?
* Amazon Managed Services for Active Learning and Augmented AI (A2I)
* Amazon Customer Reviews Dataset (DEMO)
* Train a Text Classification Model with Amazon Comprehend (DEMO)
* Deploy the Model and Make Predictions on Sample Amazon Reviews (DEMO)
* Create Augmented AI Workflow for Humans to Fix Unconfident Predictions (DEMO)

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Human in the Loop Active Learning with Amazon Augmented AI - Collision Conference - June 2020

  1. 1. © 2020, Amazon Web Services, Inc. or its Affiliates. Chris Fregly Developer Advocate AI/ML Amazon Web Services Human-in-the-Loop Active Learning with Augmented AI
  2. 2. © 2020, Amazon Web Services, Inc. or its Affiliates. Who Am I? Based in San Francisco Meetup Organizer,Advanced SageMaker and Kubeflow Meetup: https://meetup.com/Advanced-Kubeflow/ (12,000+ Members) O’Reilly Author, Data Science on AWS: https://datascienceonaws.com Former Engineer at Netflix (Video Streaming) and Databricks (Spark Streaming)
  3. 3. © 2020, Amazon Web Services, Inc. or its Affiliates. Agenda Why Choose AWS for AI and Machine Learning? Amazon Managed Services forActive Learning and AugmentedAI (A2I) DEMOs! Amazon Customer Reviews Dataset Train aText Classification Model with Amazon Comprehend Deploy the Model and Make Predictions on Sample Amazon Reviews Create AugmentedAIWorkflow for Humans to Fix Unconfident Predictions
  4. 4. © 2020, Amazon Web Services, Inc. or its Affiliates. Why Choose AWS for AI and Machine Learning?
  5. 5. © 2020, Amazon Web Services, Inc. or its Affiliates. Our mission at AWS Put machine learning in the hands of every developer
  6. 6. © 2020, Amazon Web Services, Inc. or its Affiliates. Why Choose AWS for AI and Machine Learning? 200+ new features and services launched in 2019 alone Solutions for everyone from ML scientists to application developers Support all three of the major frameworks Broadest and deepest set of AI and ML services Single IDE for the entire ML workflow At least 54% lowerTCO Up to 70% cost reduction in data-labeling Up to 90% cost reduction with managed spot training Accelerate your adoption of ML with SageMaker Built on the most comprehensive cloud platform Highly secure, reliable, fully featured data store The strongest set of compute, storage, security, database, and analytics capabilities to build upon 85%TensorFlow in the cloud runs on AWS
  7. 7. © 2020, Amazon Web Services, Inc. or its Affiliates. Amazon SageMaker has Tens of Thousands of Customers
  8. 8. © 2020, Amazon Web Services, Inc. or its Affiliates. Powered by Customer References – National Football League
  9. 9. © 2020, Amazon Web Services, Inc. or its Affiliates. Customer References – Bundesliga https://www.businesswire.com/news/home/20200526005205/en/Amazon-Web-Services-Bundesliga-Deliver-Real-Time
  10. 10. © 2020, Amazon Web Services, Inc. or its Affiliates. Amazon Managed Services for AI and Machine Learning
  11. 11. © 2020, Amazon Web Services, Inc. or its Affiliates. The AWS AI and Machine Learning Stack Broadest and most complete set of AI and Machine Learning capabilities VISION SPEECH TEXT SEARCH CHATBOTS PERSONALIZATION FORECASTING FRAUD DEVELOPMENT CONTACT CENTERS Ground Truth AWS Marketplace for ML Neo Augmented AIBuilt-in algorithms Notebooks Experiments Processing Model training & tuning Debugger Autopilot Model hosting Model Monitor Deep Learning AMIs & Containers GPUs & CPUs Elastic Inference Inferentia FPGA Amazon Rekognition Amazon Polly Amazon Transcribe +Medical Amazon Comprehend +Medical Amazon Translate Amazon Lex Amazon Personalize Amazon Forecast Amazon Fraud Detector Amazon CodeGuru AI SERVICES ML SERVICES ML FRAMEWORKS & INFRASTRUCTURE Amazon Textract Amazon Kendra Contact Lens For Amazon Connect SageMaker Studio IDE Amazon SageMaker DeepGraphLibrary
  12. 12. © 2020, Amazon Web Services, Inc. or its Affiliates. Amazon Augmented AI Easily build workflows required for human review of predictions Supports “consensus” decisions among multiple reviewers Easily implement human review workflows Reduce time to market with pre-built workflows and UIs Multiple workforce options Integrate with your custom ML models Pre-built algorithms to increase accuracy
  13. 13. © 2020, Amazon Web Services, Inc. or its Affiliates. How Amazon Augmented AI Works Client application sends input data AWS AI Service or custom ML model makes predictions Results stored to your S3 1 2 6 4 Low confidence predictions sent for human review 3 High-confidence predictions returned immediately to client application 5 Reviews consolidated usingA2I answer consolidation algorithms ClientApplication
  14. 14. © 2020, Amazon Web Services, Inc. or its Affiliates. • Reduce data labeling costs by up to 70% • Access labelers through Amazon Mechanical Turk, Amazon approved vendors, or use private human labelers • Achieve accurate results quickly Build highly accurate training datasets using humans and machine learning Humans start the labeling process,GroundTruth uses ”active learning” to learn an auto- labeling model to augment human labeling The GroundTruth auto-labeling model improves with more data Amazon SageMaker GroundTruth
  15. 15. © 2020, Amazon Web Services, Inc. or its Affiliates. How Amazon SageMaker GroundTruthWorks
  16. 16. © 2020, Amazon Web Services, Inc. or its Affiliates. DEMOs! https://github.com/data-science-on-aws/workshop Amazon Customer Reviews Dataset (150+ Million Reviews) https://s3.amazonaws.com/amazon-reviews-pds/readme.html
  17. 17. © 2020, Amazon Web Services, Inc. or its Affiliates. Machine Learning Solutions Lab
  18. 18. © 2020, Amazon Web Services, Inc. or its Affiliates. Thank you! Chris Fregly @cfregly https://data-science-on-aws/workshop https://linkedin.com/in/cfregly/

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