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NAB SHOW 2025 Demo Showcase
Data science and analytics
Create. Connect. Captivate.
Movie search voice chatbot
This demonstration features a smart assistant that helps users discover video content through conversational queries, offering personalized recommendations, occasion-based suggestions, scene-specific insights, and summaries powered by HAQM Bedrock and Anthropic’s Claude 3 Haiku, augmented with the IMDb Essential Metadata for Movies/TV/OTT licensed data package available through AWS Data Exchange (ADX). It shows how streaming platforms and media distributors can enhance viewer engagement by providing intuitive, AI-driven content discovery. By translating natural language into tailored suggestions and answers, the smart assistant helps reduce decision fatigue and delivers expert-level insights, improving satisfaction for both users and providers.
Architecture
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Movie search voice chatbot slide 1
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Movie search voice chatbot slide 2
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Movie search voice chatbot slide 1
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Movie search voice chatbot slide 2
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Disclaimer
References to third-party services or organizations on this page do not imply an endorsement, sponsorship, or affiliation between HAQM or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy them.
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running HAQM EC2 instances or using HAQM S3 storage.