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How Dynamic Scripting Can Improve Your Agents’ Performance

Calltools

This is where dynamic scripting comes in. It customizes call scripts in real time, ensuring every single conversation is more relevant and personal. Dynamic scripting lets you cater scripts for different customers, demographics, and campaigns. What Is Dynamic Scripting? Dynamic scripting can help with all this.

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Best Practices in Call Script Design: Crafting the Perfect Balance Between Information Gathering and Personalization

TeleDirect

Best Practices in Call Script Design: Crafting the Perfect Balance Between Information Gathering and Personalization Best Practices in Call Script Design play a critical role in delivering high-quality customer interactions while maintaining efficiency in a call center. Key Elements of an Effective Call Script 1.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.

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How to Write an After-Call Survey Script

Fonolo

You might have a carefully crafted questionnaire or script for your after-call survey. A strong contact center software product is the best way to streamline the process and accurately collect survey data. Have you collected enough data? Fonolo’s Portal could help with real-time insights and data-rich reporting.

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100 Pipeline Plays: The Modern Sales Playbook

Use our proven data-driven plays to grow your pipeline and crush your revenue targets. Sell more with proven templates - Customize our winning email and script templates and add them to your workflows for more wins. Hit your number with 100 Pipeline Plays. Close more deals with these winning plays!

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Customized model monitoring for near real-time batch inference with Amazon SageMaker

AWS Machine Learning

Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. For the multiclass classification problem to label support case data, synthetic data generation can quickly result in overfitting.

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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.