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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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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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5 Capabilities of Business Intelligence for Social Media Monitoring and Analytics

CSM Magazine

In this article, we’ll explore five key capabilities of BI that empower businesses to monitor social media conversations, analyze sentiment, conduct competitor analysis, create customized dashboards and reports, and integrate social media data with other sources for comprehensive analytics.

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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 68
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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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Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

AWS Machine Learning

By bridging the gap between raw genetic data and actionable knowledge, genomic language models hold immense promise for various industries and research areas, including whole-genome analysis , delivered care , pharmaceuticals , and agriculture. Lastly the model is tested against a set of known genome sequences using some inference API calls.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. For Event Source Suffix , enter a suffix (for example, genesys-eb-poc-demo ). Save your configuration. Choose Save.