Best practices Metrics Presentation 
Callminer
MAY 26, 2020
At the heart of most technological optimizations implemented within a successful call center are fine-tuned metrics. Keeping tabs on the right metrics can make consistent improvement notably simpler over the long term. However, not all metrics make sense for a growing call center to monitor. Peak Hour Traffic.
AWS Machine Learning
FEBRUARY 19, 2025
In this post, we provide best practices to maximize the value of SageMaker HyperPod task governance and make the administration and data science experiences seamless. As a best practice, set the fair-share weight higher for teams that will require access to capacity sooner than other teams.
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AWS Machine Learning
MAY 1, 2025
In this post, we share comprehensive best practices and scientific insights for fine-tuning Meta Llama 3.2 It requires sophisticated visual reasoning to interpret data visualizations and answer numerical and analytical questions about the presented information. Amazon Bedrock now offers fine-tuning capabilities for Meta Llama 3.2
Fonolo
AUGUST 5, 2021
We’ve put together our top 5 best practices for training remote agents to help you out. PowerPoint presentations. On top of regular goal setting and check-ins, keeping an eye on your agents’ metrics can help you monitor if their training is setting them up for success. Create a standardized virtual training program.
Callminer
FEBRUARY 27, 2019
We gathered best practices from 25 industry experts on voice of the customer programs and here is their advice: 1. Also, a customer segmentation best practice is to create a category for lapsed customers. Implement the technology possible to listen to your customers in real-time. Share the information with the company.
Totango
NOVEMBER 21, 2019
Luckily, there’s a measure for that, too: customer satisfaction metrics. Therefore, you should not only track customer satisfaction, but you should also empower your customer success team to take action based on the lessons these metrics teach you, customer satisfaction metrics. . But how do you measure satisfaction?
AWS Machine Learning
APRIL 29, 2025
In this post, we present an LLM migration paradigm and architecture, including a continuous process of model evaluation, prompt generation using Amazon Bedrock, and data-aware optimization. We also discuss the lessons learned and best practices for you to implement the solution for your real-world use cases.
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