AWS Çözümleri Kitaplığı

This Guidance shows how to use generative AI to derive contextual insights from multimedia assets and identify relevant audience segments for targeted advertising placements. By analyzing video, audio, and text, you can identify the most relevant audience segments and deliver personalized advertising experiences. Moreover, the use of multimodal large language models (LLMs) facilitates the extraction of insights from both visual and transcript components so you can align your media with the right advertising opportunities and monetize content more effectively.

This implementation guide provides a detailed process for migrating VMware virtual machines to Nutanix Cloud Clusters (NC2) using the Nutanix Move tool.

This Guidance demonstrates how to use Amazon Kinesis Video Streams with WebRTC to enable low-latency, bi-directional, peer-to-peer video streaming from home surveillance cameras.

This Guidance demonstrates how to use voice analytics to uncover insights from customer phone conversations and improve customer satisfaction.

This Guidance demonstrates how leaders in the travel and hospitality industry can use the capabilities of Amazon Location Service to enhance their applications with location-based functionalities.

This Guidance demonstrates how an AI-generated virtual personal stylist can provide a convenient and personalized styling experience for retail consumers.

This Guidance shows how large enterprise customers can efficiently identify and manage duplicate datasets distributed across multiple AWS accounts.

This Guidance shows how you can improve operational efficiency in the travel & hospitality (T&H) industry by integrating generative artificial intelligence (AI) into customer service applications.

This Guidance shows how your developers can build a real-time analytics pipeline that uses AI to deliver effective marketing offers during game sessions. By using gaming-machine and shuffler data to update machine learning (ML) models in real time, this pipeline predicts the best offers for individual customers. The analytics pipeline then returns these findings to your gaming machines and applications so that you can promote offers based on each user’s customer profile.