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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.” Moreover, it does not offer handy out-of-the-box integrations to your CCaaS or CRM systems for example.

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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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Amazon Bedrock Flows is now generally available with enhanced safety and traceability

AWS Machine Learning

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management. For example, CustomerServiceGuardrail-001.

APIs 123
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

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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. For this occasion, we use a set of 1,668 examples of pre-classified human interactions. The following table shows some examples.

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What Timeframe for an AI Chatbot Project?

Inbenta

Depending on the context in which the chatbot project takes place, and therefore its scope of action, its implementation may take more or less time. Indeed, the development of a chatbot implies creating new jobs such as the one of Botmaster for example. How long does it take to deploy an AI chatbot? A slow testing phase.

Chatbots 140
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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 113