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25 Indicators of Fraud on Inbound Calls

Callminer

Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. For more information on fraud prevention through the use of speech analytics and AI, download our white paper, Sitel + CallMiner Survey: Preventing Fraud and Preserving CX with AI.

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Customer Service Automation Examples

ROI CX Solutions

These proven automated customer service examples will help you boost efficiency while keeping your customers happy. Examples of customer service automation Let’s dive into some practical ways to automate your customer service operations. AI chatbot AI chatbots are one of the best customer service automation examples.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. The diagram shows several accounts and personas as part of the overall infrastructure.

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Termination Letter Examples for Call Centers & Customer Service Pros

Callminer

For information on reducing employee churn at your call center, download our white paper, Understanding How Interaction Analytics Can Reduce Agent Attrition. Termination Letter Examples. The following examples of termination letters put the important points touched on above into practice. General Employee Termination Example.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

For example, by the end of this tutorial, you will be able to query the data with prompts such as “Can you return our five top selling products this quarter and the principal customer complaints for each?” Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications. Lets walkthrough an example of how this solution would handle a users question. For example, if the question was What hotels are near re:Invent?