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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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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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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. This may be useful for later chat assistant analytics. What is the engine size of this car? turbocharged engine.

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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. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system. Prompts also help ground the model.

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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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Top 05 Emerging Technological Trends in Contact Centers

CCNG

Ranging from the intricacies of AI-driven personalization to the influential real-time analytical capabilities shaping proactive decision-making, these trends not only redefine operational structures but also signify a monumental shift in how contact centers engage with customers, aiming to provide unparalleled experiences.

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Chatbot Analytics: Essential Metrics & KPIs to Measure Bot Success

REVE Chat Blog

Chatbots are not something that you can just “set and forget”. Building a good chatbot is a daunting task but at the same time, it is important to understand the key chatbot metrics and how they are performing to achieve your goals. Simply automating business tasks with an AI chatbot isn’t enough. Gartner Research).