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

AWS Machine Learning

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning

Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. Data store Vitech’s product documentation is largely available in.pdf format, making it the standard format used by VitechIQ.

Chatbots 111
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The Comprehensive Guide to NICE CXone’s Latest AI-Driven Release

Expivia

Enlighten Actions: Beyond Analytics Enlighten Actions represents a significant advancement in AI-driven analytics, providing unprecedented insights into customer interactions and agent performance. These updates facilitate a more efficient management of customer service teams and a more customizable user experience.

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

AWS Machine Learning

It supports large-scale analysis and collaborative research through HealthOmics storage, analytics, and workflow capabilities. Lastly the model is tested against a set of known genome sequences using some inference API calls. Then we deploy that model as a SageMaker real-time inference endpoint.

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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

Using architecture diagrams as an example, the solution needs to search through reference links and technical documents for architecture diagrams and identify the services present. Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced.

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Testing times: testingRTC is the smart, synchronized, real-world scenario WebRTC testing solution for the times we live in.

Spearline

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Happy days!

Scripts 98
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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It uses Amazon Transcribe for speech to text, Knowledge Bases for Amazon Bedrock for contextual queries against your company’s documents and knowledge sources, and Amazon Bedrock models for customizable transcription insights and summaries. Choose the Monitor tab to see function metrics. For more details, see Update an existing stack.

APIs 116