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

CCNG

The short answer is ChatGPT will not replace Conversational AI, particularly for customer service and contact center use cases. 7 Showstoppers for a pureplay ChatGPT bot in Customer Service Conversational AI is a conversational interface used for interacting with software, designed around business needs.

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

With up to 20,000 calls per day, the manual auditing process was inefficient and struggled to keep up with increasing call traffic and rising customer service expectations. To address this, Intact turned to AI and speech-to-text technology to unlock insights from calls and improve customer service.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. You can use AWS services such as Application Load Balancer to implement this approach.

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Implement human-in-the-loop confirmation with Amazon Bedrock Agents

AWS Machine Learning

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the users request. This differs from confirmation flows where the agent directly executes API calls.

APIs 120
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Automate building guardrails for Amazon Bedrock using test-driven development

AWS Machine Learning

Clone the repo To get started, clone the repository by running the following command, and then switch to the working directory: git clone [link] Build your guardrail To build the guardrail, you can use the CreateGuardrail API. Based on the API response, you can determine the guardrail’s action.

APIs 118
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Build a Multi-Agent System with LangGraph and Mistral on AWS

AWS Machine Learning

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API. Its used by the weather_agent() function.

APIs 127
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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

AWS Machine Learning

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 131