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Intelligent healthcare forms analysis with Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Lastly, the Lambda function stores the question list in Amazon S3.

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Run an audience overlap analysis in AWS Clean Rooms

AWS Machine Learning

One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. The analysis helps determine how much of the advertiser’s audience can be reached by a given media partner.

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Real-time analysis of customer sentiment using AWS

AWS Machine Learning

For example, marketing could use this data to create campaigns targeting different customer segments. Traditionally, this data is collected via a batch process and sent to a data warehouse for storage, analysis, and reporting, and is made available to decision-makers after several hours, if not days. The pasta was delicious.

APIs 96
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How GoDaddy built Lighthouse, an interaction analytics solution to generate insights on support interactions using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Let’s dive into how the Lighthouse architecture and features support users in generating insights.

Analytics 112
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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning

In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes. When it comes to video analysis, priorities include brand safety, regulatory compliance, and engaging content.

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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Amazon Redshift is another service in the Analytics stack.

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Boost agent productivity with Salesforce integration for Live Call Analytics

AWS Machine Learning

The Live Call Analytics with Agent Assist (LCA) open-source solution addresses these challenges by providing features such as AI-powered agent assistance, call transcription, call summarization, and much more. This function can implement custom logic that’s relevant to postprocessing, for example, updating the call summary to a CRM system.

Analytics 102