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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Similarly, you can explore image and video models with the Image & video playground. Download all three sample data files.

APIs 107
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How to decide between Amazon Rekognition image and video API for video moderation

AWS Machine Learning

In a recent survey, 79% of consumers stated they rely on user videos, comments, and reviews more than ever and 78% of them said that brands are responsible for moderating such content. Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged.

APIs 95
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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

In this post, we demonstrate how to use enhanced video search capabilities by enabling semantic retrieval of videos based on text queries. Overall, we aim to improve video search through cutting-edge semantic matching, providing an efficient way to find videos relevant to your rich textual queries.

APIs 137
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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

The Amazon Nova family of models includes Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, which support text, image, and video inputs while generating text-based outputs. How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? get("message", {}).get("content")

Benchmark 112
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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.

Metrics 95