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Guest Post: The Power of Visualizing and Sharing Customer Service Feedback Data

ShepHyken

He writes about visualizing customer feedback in order to motivate your business to succeed. You can read just as many articles about the importance of customer feedback in operating your business successfully. Of course, it’s important to take into account the kind of feedback you’re asking for.

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Guest Blog: Customer Feedback Loops – 3 Examples & Strategies

ShepHyken

This week we feature an article by Agi Marx who shares 3 ways to close the customer feedback loop to prevent churn and increase revenue. – Shep Hyken. What is the customer feedback loop? Customer feedback loop is the practice of responding to customers meaningfully when they leave feedback.

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Creating Successful Relationships

Beyond Philosophy

For example, to the employee who presented both a problem and solution with an account: “I like how you came in with a proposed solution for that problem we had with the account. It makes my job easier when I have solutions presented to me instead of just problems.”. Don’t give up too soon.

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Guest Post: 7 Ways Improved Customer Journey Results in Business Growth

ShepHyken

This week, we feature an article by Sage , an international company that helps organizations of all sizes with accounting, payroll, and payment solutions. Improved customer feedback and insights Your customer satisfaction (CSAT) and net promoter scores (NPS) provide invaluable insight into how satisfied customers are with their experience.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

As generative AI models advance in creating multimedia content, the difference between good and great output often lies in the details that only human feedback can capture. The path to creating effective AI models for audio and video generation presents several distinct challenges.

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

AWS Machine Learning

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. 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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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning

Continuous fine-tuning also enables models to integrate human feedback, address errors, and tailor to real-world applications. When you have user feedback to the model responses, you can also use reinforcement learning from human feedback (RLHF) to guide the LLMs response by rewarding the outputs that align with human preferences.