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AIM325-R: [NEW LAUNCH!] Amazon Augmented AI for human review of ML predictions
Manage episode 276820459 series 2819993
Content provided by John Rotenstein. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Rotenstein or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Many machine learning (ML) applications require humans to review for labeling or moderation of nuanced content, which can result in low confidence predictions to ensure the correct results. But building human review systems can be time-consuming and expensive. Amazon Augmented AI (A2I) makes it easy to build and manage human reviews for ML applications through built-in workflows for common ML use cases, such as content moderation (with Amazon Rekognition) and text extraction (with Amazon Textract). You can create workflows for custom ML models or those built on Amazon SageMaker. In this session, learn about Amazon A2I and how to use it. Then hear from VidMob about how they plan to use Amazon A2I to quickly optimize and fine-tune video analytics models.
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Manage episode 276820459 series 2819993
Content provided by John Rotenstein. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by John Rotenstein or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Similar to AWS re:Invent 2019
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