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

CCNG

When used stand-alone, it cannot deliver the basic must-have requirements for enterprise use and above all, is not even designed for them. It should be designed for your use case ChatGPT, in its current form, is essentially using a chatbot to interact with multiple static and undisclosed information sources.

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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.

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Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

AWS Machine Learning

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 122
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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
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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

They arent just building another chatbot; they are reimagining healthcare delivery at scale. Their results speak for themselvesAdobe achieved a 20-fold scale-up in model training while maintaining the enterprise-grade performance and reliability their customers expect. times lower latency compared to other platforms.

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

AWS Machine Learning

To enable the video insights solution, the architecture uses a combination of AWS services, including the following: Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at scale.

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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.

APIs 102