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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

CX transformation often requires breaking entrenched habits and coordinating across silos, which wont happen without active support from the C-suite. While customer delight is the ultimate goal, framing it in terms of ROI and competitive advantage speaks the language of executives and ensures CX strategy gets the necessary support.

B2B 339
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Customer Experience Journey Mapping Strategies to Improve Business Performance

InMoment XI

Example: A retail company maps out how a customer currently shops on its e-commerce platform and identifies the complex checkout process as an area of improvement to improve the e-commerce customer experience. These could include the website, customer support portal, social media, and more.

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Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks

AWS Machine Learning

Organizations can upload documents like PDFs containing HR guidelines or operational workflows, which are then automatically converted into formal logic structures. The workflow consists of the following steps: Source documents (such as HR guidelines or operational procedures) are uploaded to the system. Upload your source document.

Policies 108
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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

AWS Machine Learning

For an example of how to create a travel agent, refer to Agents for Amazon Bedrock now support memory retention and code interpretation (preview). As you can see, now with the multi-turn support in Flows, our agent node is able to ask follow-up questions to gather all information and make the booking.

Travel 119
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Generative AI in Contact Centers: The Tech and Use Cases Driving a Revolution in Customer Service

Calabrio

Contact Center AI Generative AI in Contact Centers: The Tech and Use Cases Driving a Revolution in Customer Service Share The contact center landscape is undergoing a dramatic shiftone driven by the adoption and innovation of AI. Assistance Tools Support Agents in Real Time Equip your agents with a real-time co-pilot.

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Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

AWS Machine Learning

Amazon Bedrock Knowledge Bases has a metadata filtering capability that allows you to refine search results based on specific attributes of the documents, improving retrieval accuracy and the relevance of responses. Improving document retrieval results helps personalize the responses generated for each user.

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LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning

Flexible implementation : The system supports the evaluation of models hosted on Amazon Bedrock, custom fine-tuned models, and imported models. Both of these fields need to have enough quota to support your Provisioned Throughput model unit. Model units per provisioned model for [your custom model name]. 0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"