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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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

AWS Machine Learning

Solution overview This changed with GoDaddy Lighthouse, a generative AI-powered interactions analytics solution, which unlocks the rich mine of insights sitting within our customer care transcript data. By engineering prompts that run against an LLM, we can systematically derive powerful and standardized insights across text-based data.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Solution overview We apply two methods to generate the first draft of an earnings call script for the new quarter using LLMs: Prompt engineering with few-shot learning – We use examples of the past earnings scripts with Anthropic Claude 3 Sonnet on Amazon Bedrock to generate an earnings call script for a new quarter.

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Call Recorder or Recording Engine? Which do you Need?

OrecX

It's like the chicken and the egg - which came first: the call recorder or the recording engine? A recording engine is quite different, although you may not initially think so. Yes, a call recorder has a recording engine within it, but we aren't looking at it that way right now. Real time, automated QA - recording engine.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback. of overall responses) can be addressed by user education and prompt engineering.

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Solution overview The solution outlines how to build a reverse image search engine to retrieve similar images based on input image queries. Engine : Select nmslib. Choose Create vector index.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.