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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. The prompt guides the LLM on how to respond and interact based on the user question. Prompts also help ground the model. Your primary functions are: 1.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. To assist those who may be starting with a blank canvas, Amazon Lex provides the Amazon Lex automated chatbot designer.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

For example, if you have want to build a chatbot for an ecommerce website to handle customer queries such as the return policy or details of the product, using hybrid search will be most suitable. Contextual-based chatbots – Conversations can rapidly change direction and cover unpredictable topics.

APIs 103
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How to reframe the banking experience: Defining the new norm for banking contact centers

Talkdesk

Companies are either born on the cloud or have to be re-born on the cloud.” — Sheila McGee-Smith, president and principal analyst, McGee-Smith Analytics. Through the use of APIs, an entire ecosystem of pre-vetted banks and third-party providers is integrated, allowing a company to serve its customer base better and faster.

Banking 114
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Making Self-Service More Intelligent

DMG Consulting

chatbots, voicebots, or just plain bots—can automate many tasks and inquiries previously handled by live agents, reducing operating expenses. natural language processing (NLP), natural language understanding (NLU), and natural language generation (NLG)), deep neural networks, and predictive analytics.

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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

Amazon Lex provides the framework for building AI based chatbots. We then demonstrate how to use LangChain for tying everything together: Interfacing with LLMs hosted on Amazon SageMaker. We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda.

APIs 76
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WhatsApp Ticketing System: A Quick Set-Up Guide

JustCall

You can also recruit chatbots to build an FAQ bank for your customers. This way, chatbots can handle basic queries and tasks quickly. Automate the chatbot response, include variations of the same issues, and train the bot on how to answer common queries like order tracking and store contact details.

APIs 52