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Cold Calling Scripts| 10 Cold Calling Templates to Convert Prospects

JustCall

Being prepared with a cold calling script can be helpful. In this blog, we will take you through cold calling scripts you can use for creating your sales pitch. Sales agents and reps can use cold calling scripts to confidently make sales pitches. Create an Elevator Pitch for Your Cold Calling Script.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Company earnings calls are crucial events that provide transparency into a company’s financial health and prospects. Companies often release information about new products, cutting-edge technology, mergers and acquisitions, and investments in new market themes and trends during these events.

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How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

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22 Customer Service Experts Reveal How Call Center Reps Should Address Complaints About Bad Customer Service

Callminer

Speech analytics solutions like CallMiner Eureka help to improve the customer experience by consolidating intelligence from not only what was said, but how it was said, along with intent and emotional intelligence to provide actionable insights quickly. They use canned, scripted responses that lack sincerity. Nikola Baldikov.

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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 98
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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. and data_loader.py

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Optimal pricing for maximum profit using Amazon SageMaker

AWS Machine Learning

The results data from these jobs are stored in the Amazon S3 analytics layer. The Amazon S3 analytics layer is used to store the data that is used by the ML models for training purposes. We receive a notification any time an offer change happens, which adds up to several million events per month over all our customers’ products.

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