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How to Use Data Analytics to Improve High Roller Casino Customer Service

CSM Magazine

These VIP patrons demand a personalized and seamless experience, and casinos can meet these expectations by leveraging data analytics. Harnessing the power of data gives casinos valuable insights into customer preferences, behaviors, and trends. It enables them to tailor their services to individual high rollers.

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NPS Benchmarks for 2018: How Do You Compare?

AskNicely

” NPS Benchmarks. Feedback gets collected and considered once a year amongst a small group, and not readily actioned. More recently, organizations have set a new standard of empowerment by using customer insights to grow revenue and retain more customers. Best NPS Benchmarks Are a Result of NPS Best Practices.

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Establishing an AI/ML center of excellence

AWS Machine Learning

By taking a proactive approach , the CoE provides ethical compliance but also builds trust, enhances accountability, and mitigates potential risks such as veracity, toxicity, data misuse, and intellectual property concerns. It helps manage and scale central policies and standards.

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What Is Call Center Reporting & How Does It Work?

NobelBiz

Are you grappling with the complexities of call center metrics, seeking to elevate customer experience, and driving operational excellence through insightful data analysis? How do you navigate the sea of data to extract actionable insights and make informed decisions that propel your contact center forward?

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How to Evaluate and Improve Agent Performance with Survey Results

JustCall

To know how efficient an agent is, companies use several data analytics tools and reports. But while these agent performance measurement tools are effective, why not ask the customer to provide feedback? This is where post-call surveys come into play. Use customer feedback to identify recurring issues and address them proactively.

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Improving your LLMs with RLHF on Amazon SageMaker

AWS Machine Learning

Reinforcement Learning from Human Feedback (RLHF) is recognized as the industry standard technique for ensuring large language models (LLMs) produce content that is truthful, harmless, and helpful. The collected responses (often referred to as demonstration data) are used in a process called supervised fine-tuning (SFT).

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Jayride Review the Evolving Landscape of Travel: The Customer Experience

CSM Magazine

As we delve into the intricacies of customer service in the travel sector, we’ll explore how Jayride are not just meeting but exceeding customer expectations, thereby setting new industry standards and enjoying the financial benefits that come with it. But the power of data doesn’t stop there.