AWS Innovate - AI/ML Edition 2021 On-Demand

  • AI/ML State of the Nation [Keynote]58:38

    AI/ML State of the Nation [Keynote]

    Watch Session »
  • Innovation is Never Normal [Level 100]50:40

    Innovation is Never Normal [Level 100]

    For businesses working with AI and ML however, living this never normal is simply ‘business as usual’, where constant change offers abundant opportunities to innovate, and thrive.

    Watch Session »
  • Amazon.com's use of AI/ML to Enhance the Customer Experience32:36

    Amazon.com's use of AI/ML to Enhance the Customer Experience

    In this session, we share specific examples from Amazon.com's consumer/retail and other businesses to explain how AI/ML helps Amazon deliver the best customer experience possible.

    Watch Session »
  • Strategies to Accelerate AI/ML at Scale: From Idea to POC and Achieve Business Outcomes1:07:29

    Strategies to Accelerate AI/ML at Scale: From Idea to POC and Achieve Business Outcomes

    Learn how executives and managers who are looking to achieve success using ML to accelerate innovation and drive technological progress.

    Watch Session »
  • Canada as a Global Leader in AI/ML16:51

    Canada as a Global Leader in AI/ML

    This session walks technology leaders through the largest Canadian influences to AI/ML including the latest Canadian investment by AWS in this space.

    Watch Session »
  • Offer Your Customers Real-Time Personalized Recommendations22:51

    Offer Your Customers Real-Time Personalized Recommendations

    With no prior machine learning experience you can start creating A/B tests to see the impact of Amazon Personalize on increasing user engagement with your recommended products and content.

    Watch Session »
  • Overcome Document Processing and Analysis Challenges at Scale35:06

    Overcome Document Processing and Analysis Challenges at Scale

    Discover how using Amazon Textract, Amazon Comprehend, and Amazon Augmented AI provide organizations with a machine learning solutio to overcome document processing and analysis at scale.

    Watch Session »
  • AWS Security: Where We’re Going and Where We've Been33:26

    AWS Security: Where We’re Going and Where We've Been

    Here the latest security updates in the Well-Architected categories of detection, identity management, data protection, and incident response.

    Watch Session »
  • Intelligent Search to Improve Workforce Productivity34:09

    Intelligent Search to Improve Workforce Productivity

    This session will provide a high level overview of cognitive search, why it's important, and what it can do for your customers and employees.

    Watch Session »
  • Bring the Power of Machine Learning to Your Fight Against Online Fraud34:48

    Bring the Power of Machine Learning to Your Fight Against Online Fraud

    Take a deep dive into Amazon Fraud Detector, its use cases in your business, and how to quickly get started.

    Watch Session »
  • Well-Architectured Framework for Machine Learning28:55

    Well-Architectured Framework for Machine Learning

    In this whiteboarding session, learn how to design an ML application guided by the AWS Well-Architected Framework five pillars.

    Watch Session »
  • Prepare your Datasets at Scale using Apache Spark and SageMaker Data Wrangler [Level 300]34:11

    Prepare your Datasets at Scale using Apache Spark and SageMaker Data Wrangler [Level 300]

    Discover ways to use Apache Spark on AWS to analyze large datasets, perform data quality checks, transform raw data into machine learning features, and train predictive models.

    Watch Session »
  • Orchestrate and Automate Machine Learning Workflows with SageMaker Pipelines [Level 300]34:51

    Orchestrate and Automate Machine Learning Workflows with SageMaker Pipelines [Level 300]

    In this session, you'll see how to create, automate, and manage end-to-end ML workflows using Amazon SageMaker Pipelines.

    Watch Session »
  • Comparing Models in Production with Multi-Armed Bandits and Reinforcement Learning [Level 300]36:09

    Comparing Models in Production with Multi-Armed Bandits and Reinforcement Learning [Level 300]

    Using the popular Hugging Face Transformers open source library for BERT to train and deploy multiple natural language understanding (NLU) models.

    Watch Session »
  • Reduce Training Time and Cost with SageMaker Debugger  [Level 300]34:33

    Reduce Training Time and Cost with SageMaker Debugger [Level 300]

    In this session, we walk through how to use the real-time training metrics and set up alerts so you can reduce troubleshooting time, training costs and improve model quality.

    Watch Session »
  • Standardize and Automate your Feature Engineering Workflows with SageMaker Feature Store [Level 300]39:45

    Standardize and Automate your Feature Engineering Workflows with SageMaker Feature Store [Level 300]

    Learn how to solve all these problems with Amazon SageMaker Feature Store, and how to use it with both the SageMaker Studio user interface and the SageMaker SDK.

    Watch Session »
  • Scale your Large Distributed Training Jobs with Data and Model Parallelism Optimized for Amazon SageMaker [Level 300]36:57

    Scale your Large Distributed Training Jobs with Data and Model Parallelism Optimized for Amazon SageMaker [Level 300]

    In this session, explore how to choose the proper instance for ML training and inference based on model size, complexity, throughput, framework choice, inference latency and portability requirements.

    Watch Session »
  • Detect Potential Bias in your Datasets and Explain how your Models Predict using SageMaker Clarify (Level 300)33:29

    Detect Potential Bias in your Datasets and Explain how your Models Predict using SageMaker Clarify (Level 300)

    Watch Session »
  • Select the Right ML Instance for your Training and Inference Job (Level 300)39:41

    Select the Right ML Instance for your Training and Inference Job (Level 300)

    Watch Session »
  • Automate Code Reviews, Performance Recommendations and Operational Insights  (Level 300)44:44

    Automate Code Reviews, Performance Recommendations and Operational Insights (Level 300)

    Watch Session »
  • loading
    Loading More...