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Does Your Training Account for How Customer Service Agents Learn?

Vistio

Delivering outstanding customer experiences requires highly skilled and well-trained agents who can navigate complex interactions. But when it comes to honing these essential skills, the conventional classroom-based training model may not be sufficient to prepare agents for the diverse and demanding challenges they face daily.

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How to Train and Support Remote Customer Service Employees

Myra Golden Media

When we moved to Q & A, Sherry asked a question about training and supporting remote agents: Our contact center agents will work remotely for the foreseeable future. I’m concerned about training my agents and supporting them. I’m a contact center supervisor who trains, yet I don’t have a training background.

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How Does Mental Accounting Influence Customer Experience

Beyond Philosophy

The answer is found in the concept of mental accounting, and it might have significant implications for your Customer Experience. We discussed how our mental accounting affects our behavior as customers in our recent podcast. How Mental Accounting Works. We have written about Mental Accounting before.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

Features are inputs to ML models used during training and inference. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. For a deep dive, refer to Cross account feature group discoverability and access.

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Winning Solutions to Keep Contact Center Agents Engaged

Speaker: Adam Saad - Founder & CEO, Tech Stack Advising

These plans must also take into account the different environments and locations your agents may be working in. Recruitment and training tactics that keep employees and employers satisfied. At the end of this webinar, you will walk away with insights including: How to keep your company’s cultural message clear.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks.

Finance 100
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Guest Blog: Customer Service Training Ideas to Help Build Brand Advocacy

ShepHyken

This week we feature an article by Kristin Erikson writes shares great customer service training tips and ideas that will help your company build brand advocacy. Remember customer service training is not something you di, it’s something you do. – Shep Hyken. Customers service training ideas for better brand advocacy.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.