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Enhance customer service efficiency with AI-powered summarization using Amazon Transcribe Call Analytics

AWS Machine Learning

This can make it challenging to scale quality management within the contact center. To address these issues, we launched a generative artificial intelligence (AI) call summarization feature in Amazon Transcribe Call Analytics. Simply turn the feature on from the Amazon Transcribe console or using the start_call_analytics_job API.

Analytics 118
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Speech Analytics: Garbage in, Garbage Out

OrecX

This is the only way to ensure your speech analytics solution is adequately interpreting and transcribing both your agents and your customers. REAL TIME - Does your recording solution capture call audio in a real-time streaming manner so your transcription and analytics engine can process the call as it happens, or post-call?

Analytics 127
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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

Ultimately, this systematic approach to managing models, prompts, and datasets contributes to the development of more reliable and transparent generative AI applications. SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process.

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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. Search for App Manager and choose App Manager. Under Available OAuth Scopes , choose Manage user data via APIs (api).

Analytics 102
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How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

AWS Machine Learning

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. As global trading volumes rise rapidly each year, capital markets firms are facing the need to manage large and diverse datasets to stay ahead. trillion in assets across thousands of accounts worldwide.

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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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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.