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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 enables organizations to extract valuable information from multimodal content unlocking the full potential of their data without requiring deep AI expertise or managing complex multimodal ML pipelines.

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Ajay Kumar, CEO of SLK Software – Interview Series

Unite.AI

SLK's AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly. In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times.

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Evaluate and improve performance of Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

The Amazon Bedrock evaluation tool provides a comprehensive assessment framework with eight metrics that cover both response quality and responsible AI considerations. However, generating and maintaining large datasets using human annotators is a time-consuming and costly approach.

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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

Failing to adopt a more automated approach could have potentially led to decreased customer satisfaction scores and, consequently, a loss in future revenue. It ultimately allows Asure to highlight important metrics for their use case and provides visibility into the generative AI applications strengths and weaknesses.

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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

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.