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Deep Dive into Loyalty and Experience Drivers in the Tech World—The Blueprint for Building Long-Term B2B Relationships

eglobalis

Successful companies like Salesforce, Bosch, Siemens, and others demonstrate that loyalty is cultivated through seamless communication, problem-solving, and proactive support. Implementing advanced AI-powered agents for seamless communication is another advisable step.

B2B 433
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A Guide to Customer Communication Management

Joe Rawlinson

A key aspect of business is managing how companies talk to their customers. To put it simply, a customer communication management (CCM) system covers all the strategies, procedures, and technologies used to create a connection between a company or business and the people who buy from them. Among the most important ones are: 1.

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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

In this post, we focus on one such complex workflow: document processing. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

Tools 96
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Customer Experience in Insurance: Strategies to Boost Customer Satisfaction

InMoment XI

They expect fast claims processing and personalized health management. Clear communication and self-service tools are crucial to their satisfaction. Life insurance customer experience : Life insurance customers need clear, simple communication about policy terms. It enhances operational efficiency.

Insurance 195
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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. MLflow is an open source platform for managing the end-to-end ML lifecycle, including experimentation, reproducibility, and deployment.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.