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Establishing an AI/ML center of excellence

AWS Machine Learning

Examples of such standards include: Development framework – Establishing standardized frameworks for AI development, deployment, and governance provides consistency across projects, making it easier to adopt and share best practices. You can use tools such as Amazon Macie to discover and protect your sensitive data.

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How to Improve Contact Center Agent Performance

Fonolo

Gathering feedback from customers has become an industry standard for contact centers. Qualitative Data – Provides information that must be interpreted (feedback, observations, etc.). For example: Customer satisfaction surveys, employee feedback. How to Give Feedback to Improve Agent Performance.

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Making Sense of Customer Experience Metrics

PeopleMetrics

There was a time that businesses relied on anonymous, aggregated customer feedback as the sole input for their customer strategies. And that time is quickly fading away, along with once-common practices like writing checks to pay monthly bills and physically signing mortgage application documents. Technology has created a new age.

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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. Reward models and reinforcement learning are applied iteratively with human-in-the-loop feedback.

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Techniques for Creating Effective Customer Service Scripts for Your Call Center

Global Response

Compliance reminders : Remind agents of relevant legal or regulatory compliance issues, ensuring the conversation meets industry standards. It requires weaving together customer needs, agent capabilities, and the organization’s overarching goals into one comprehensive document. Solicit agent feedback.

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Financial Services and Gamification: Train, Motivate & Retain

Noble Systems

It also provides constant feedback to employees to motivate them to continually improve performance and better serve financial services consumers. It also reinforces policies and adherence to compliance and industry standards. Financial services sales , similar to sales in other industries, is a process.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

The real-world performance and feedback are eventually used for further model improvements with full automation of the model training and deployment. AI/ML specification report generation for regulatory compliance AWS maintains compliance certifications for various industry standards and regulations.