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Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex

AWS Machine Learning

These include interactive voice response (IVR) systems, chatbots for digital channels, and messaging platforms, providing a seamless and resilient customer experience. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs.

Chatbots 112
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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning

Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce. The aim is to understand which approach is most suitable for addressing the presented challenge.

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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. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

Chatbots 112
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers.

Chatbots 134
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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

AWS Machine Learning

Chatbot application On a second EC2 instance (C5 family), deploy the following two components: a backend service responsible for ingesting prompts and proxying the requests back to the LLM running on the Outpost, and a simple React application that allows users to prompt a local generative AI chatbot with questions.

APIs 107
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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.

Chatbots 130