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  • How to quickly deploy a desktop solution to support a remote workforce57:32

    How to quickly deploy a desktop solution to support a remote workforce

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    AWS Dev Day Australia On-demand 2018

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  • AWS Case Study : SPI Cinemas - Indian cinema in the cloud4:00

    AWS Case Study : SPI Cinemas - Indian cinema in the cloud

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  • AWS Case Study : Tata Consumer Products - SAP & the perfect cup of tea4:18

    AWS Case Study : Tata Consumer Products - SAP & the perfect cup of tea

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  • AWS Case Study : Ashok Leyland - Driving performance of connected vehicles3:48

    AWS Case Study : Ashok Leyland - Driving performance of connected vehicles

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  • AWS_Origin_CUTOVER_LinkedIn_Teaser_REBRANDED_MASTER9:48

    AWS_Origin_CUTOVER_LinkedIn_Teaser_REBRANDED_MASTER

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  • 어린이 자폐증 검사를 위해 사용되는 AWS 기계 학습: AWS AIML 특집3:17

    어린이 자폐증 검사를 위해 사용되는 AWS 기계 학습: AWS AIML 특집

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  • AWS re:Invent 2019에서 발표한 Formula 1의 AWS 성공 사례: AWS AIML 특집10:22

    AWS re:Invent 2019에서 발표한 Formula 1의 AWS 성공 사례: AWS AIML 특집

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  • AWS 기계학습이 해결하는 다양한 문제들: AWS AIML 특집2:14

    AWS 기계학습이 해결하는 다양한 문제들: AWS AIML 특집

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  • Startup lessons from the GFC webinar - recording56:30

    Startup lessons from the GFC webinar - recording

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  • AWS Case Study : AXA moves from payer to partner3:56

    AWS Case Study : AXA moves from payer to partner

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  • A Conversation on Machine Learning with Amazon2:16

    A Conversation on Machine Learning with Amazon

    Hear from Amazon leaders on lessons learned and best practices in machine learning based on the company’s own experience applying the technology to everything from personalization to forecasting.

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  • Building computer vision applications on AWS2:38:37

    Building computer vision applications on AWS

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  • Machine learning deployment on AWS Best practices to decide what, where, and how (Level 300) - AWS I45:12

    Machine learning deployment on AWS Best practices to decide what, where, and how (Level 300) - AWS I

    Putting ML solutions in production requires knowing the what, where, and how of deploying ML models. One needs to know what the model is (resource requirements in production) and what the business con

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  • Automate machine learning From debugging deep learning to detecting model drift in production (Level49:26

    Automate machine learning From debugging deep learning to detecting model drift in production (Level

    Machine learning (ML) involves more than just training models; developers need to debug these deep learning models as well as monitor their performance in production so that they serve their intended

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  • Image classification with AWS DeepLens35:15

    Image classification with AWS DeepLens

    Learn how to build a custom deep learning image classification model with AWS DeepLens, Amazon SageMaker, AWS IoT Greengrass, and other AWS services. The model can be used for a variety of purposes, i

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  • Breaking language barriers with AI (Level 300) - AWS Innovate24:50

    Breaking language barriers with AI (Level 300) - AWS Innovate

    Amazon brings natural language processing, speech recognition, text-to-speech capabilities, and machine translation within the reach of every developer. API-driven application services enable data sci

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  • Get started with generative AI using AWS DeepComposer (Level 300) - AWS Innovate31:40

    Get started with generative AI using AWS DeepComposer (Level 300) - AWS Innovate

    In this session, learn how to use generative AI to create music with AWS DeepComposer. Get hands on with the world's first machine learning enabled musical keyboard and record a melody. Then, learn ho

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  • Meeting security and compliance objectives when using Amazon SageMaker (Level 200) - AWS Innovate24:46

    Meeting security and compliance objectives when using Amazon SageMaker (Level 200) - AWS Innovate

    Amazon SageMaker is a fully managed machine learning (ML) service that data scientists and developers use to build predictive and analytical models with their data. Datasets used for research may cont

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  • Learn machine learning like an Amazonian (Level 100) - AWS Innovate17:30

    Learn machine learning like an Amazonian (Level 100) - AWS Innovate

    Machine learning (ML) and artificial intelligence are stealing headlines and sparking the imaginations of individuals working in big organizations and the startup community. Yet, one of the biggest ba

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  • Machine learning powered analytics for contact centers (Level 300) - AWS Innovate27:35

    Machine learning powered analytics for contact centers (Level 300) - AWS Innovate

    Today, most contact center analytics are based on phone switch activity or CRM call notes that are recorded by the contact center agent. However, these analytics typically lack insights into the actua

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