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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

Furthermore, by integrating a knowledge base containing organizational data, policies, and domain-specific information, the generative AI models can deliver more contextual, accurate, and relevant insights from the call transcripts. Architecture The following diagram illustrates the solution architecture. and Anthropics Claude Haiku 3.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.

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Build AI-powered malware analysis using Amazon Bedrock with Deep Instinct

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that grants access to high-performance foundation models (FMs) from top AI companies through a unified API. By concentrating our generative AI models on specific artifacts, we can deliver comprehensive yet focused responses to address this gap effectively.