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How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

AWS Machine Learning

However, there are benefits to building an FM-based classifier using an API service such as Amazon Bedrock, such as the speed to develop the system, the ability to switch between models, rapid experimentation for prompt engineering iterations, and the extensibility into other related classification tasks.

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Amazing Business Radio: John Jantsch

ShepHyken

The Ultimate Marketing Engine. Shep Hyken interviews John Jantsch is a marketing consultant, speaker, and author of The Ultimate Marketing Engine. ” About: John Jantsch is a marketing consultant, speaker, and author of The Ultimate Marketing Engine. Creating Customers for Life. Shep Hyken ? Amazing Business Radio.

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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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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

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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.

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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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Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

AWS Machine Learning

This post dives deep into prompt engineering for both Nova Canvas and Nova Reel. Fundamentals of prompt engineering for Amazon Nova Effective prompt engineering for Amazon Nova Canvas and Nova Reel follows an iterative process, designed to refine your input and achieve the desired output. Nitin Eusebius is a Sr.

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The 5 Stages of Account-Based Marketing — and How to Win Them All

Data is the fuel that powers your ABM engine. The benefits of account-based marketing are clear: internal alignment, shorter sales cycles, higher conversion rates. But none of this is possible without the most important element of a successful ABM program: good data. Without it, you can’t find and reach your target accounts.

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Contact Center Metrics That Matter

Speaker: Nate Brown, Co-Founder, CX Accelerator

How to move beyond effort using Customer Engagement Score, Customer Growth Engine and more to develop a CX dashboard. By the end of this webinar, you will know: How to establish an “effort-measurement” base for both the customer experience and the employee experience. January 29th, 2019, 12:30PM PST, 3:30PM EST, 7:30PM GMT

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Is Training the Right Solution?

Speaker: Tim Buteyn

In this webinar, you will learn how to determine if training is the right solution using the Behavior Engineering Model. How can you determine if training is the right solution before you commit your budget and resources to a new training program?

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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.