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Thinking Outside the Script: Empowering Agents to Think Critically in High-Stakes Calls

Vistio

In contact centers, scripts have long been a cornerstone of customer interactions. But as customer demands grow more complex and situations become less predictable, relying solely on scripts can hinder an agents ability to deliver exceptional service. However, scripts can also be limiting.

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Customer Success in SaaS: A Complete Guide & Best Practices

Totango

The software service industry presents unique challenges for customer success management while also creating unique opportunities that call for specific strategies. SaaS technology and supporting apps should be used to implement a data-driven approach to customer success, automate best practices, monitor results, and manage performance.

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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

AWS Machine Learning

Enterprise-scale data presents specific challenges for NL2SQL, including the following: Complex schemas optimized for storage (and not retrieval) Enterprise databases are often distributed in nature and optimized for storage and not for retrieval. Depending on the use case, this can be a static or dynamically generated script.

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Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

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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.

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Secure a generative AI assistant with OWASP Top 10 mitigation

AWS Machine Learning

To mitigate these risks, implement best practices like multi-factor authentication (MFA), rate limiting, secure session management, automatic session timeouts, and regular token rotation. This approach addresses the risk of LLM05:2025 Improper Output Handling.

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2020 Call Center Metrics: 6 Key Metrics for Your Call Center Dashboard

Callminer

If your First Call Resolution numbers are low, you may be dealing with several operational obstacles, including excessive complexity in your agents’ scripts, poor collaboration efforts between specialized support teams or even a faulty phone system. What metrics does your business make use of the most?