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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

For example, the following figure shows screenshots of a chatbot transitioning a customer to a live agent chat (courtesy of WaFd Bank). The associated Amazon Lex chatbot is configured with an escalation intent to process the incoming agent assistance request. The payload includes the conversation ID of the active conversation.

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

AWS Machine Learning

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing.

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How to Create a WhatsApp Chatbot for your Business

Inbenta

However, WhatsApp users can now communicate with a company chatbot through the chat interface as they would talk to a real person. WhatsApp Business also has additional features to differentiate it from an individual account and aimed at facilitating business-to-customer communication. WhatsApp Business chatbots.

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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 106
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6 Ways to Securely Implement your AI-based Chatbot

Inbenta

Inbenta has extensive experience deploying intelligent, conversational chatbots throughout large enterprises. After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. Secure your access to RESTful API services. Understanding the risks.

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

AWS Machine Learning

One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. The Streamlit application invokes the API Gateway endpoint REST API.

APIs 75
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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. An example of a customized image search is Enterprise Resource Planning (ERP). After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK.