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5 Keys to Writing a Successful B2B Telemarketing Script

Quality Contact Solutions

Recently I was asked what the key was to create a robust B2B Telemarketing Script. It’s a good question, and after having helped develop and implement thousands of successful scripts over the years, I don’t have that 30-second elevator pitch answer to that question. What is the goal of the script?

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6 Ways to Improve Customer Experience in Healthcare

CSM Magazine

Customer experience (CX) in healthcare is how patients perceive their interactions with healthcare providers. Healthcare is one of the fastest-growing industries. This blog discusses six ways to improve customer experience in healthcare. Providing the best medical experience is a challenge for all healthcare providers.

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The Case For the Anti-Script: A Multifactor Analysis of Script Adherence

Balto

“The anti-script doesn’t mean that you should wing it on every call… what anti-script means is, think about a physical paper script and an agent who is reading it off word for word… you’re taking the most powerful part of the human out of the human.” Share on Twitter. Share on Facebook.

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How Visual Service and AI Redefine CX Across Industries

TechSee

The Role of Generative AI in CX Transformation Generative AI refers to AI systems that can generate content , such as texts, images, or even entire support scripts. In healthcare, visual AI aids in telemedicine by enabling remote device diagnostics and consultations.

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Use your own training scripts and automatically select the best model using hyperparameter optimization in Amazon SageMaker

AWS Machine Learning

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. We walk through the following steps: Use SageMaker script mode to bring our own model on top of an AWS-managed container. Solution overview. Find the metric in CloudWatch Logs.

Scripts 96
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5 Keys to Writing a Successful B2B Telemarketing Script

Quality Contact Solutions

Recently I was asked what the key was to create a robust B2B Telemarketing Script. It’s a good question, and after having helped develop and implement thousands of successful scripts over the years, I don’t have that 30-second elevator pitch answer to that question. What is the goal of the script?

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Fine-tune large multimodal models using Amazon SageMaker

AWS Machine Learning

LMMs have the potential to profoundly impact various industries, such as healthcare, business analysis, autonomous driving, and so on. bin/bash # Set the prompt and model versions directly in the command deepspeed /root/LLaVA/llava/train/train_mem.py --deepspeed /root/LLaVA/scripts/zero2.json For full parameter fine-tuning, ml.p4d.24xlarge

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