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Innovate or Stagnate: Top 4 Customer Service Trends for 2024

Comm100

This blog will delve into the top four customer service trends that are expected to take center stage in 2024. This blog is written for you, the experienced customer service professionals, who are the driving force behind these changes that will improve CX and internal efficiencies. Now, it’s about being one step ahead.

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Top 10 Auto Dialer Software in 2024 for Efficient Sales Teams

JustCall

Features you should look for in modern auto dialers Here are four crucial features that modern auto dialers in 2024 should have to maximize the potential of your sales teams or agents: Predictive dialing: Basic auto dialers are better than manual dialing , but predictive dialing takes it further. Reporting and analytics tools.

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A Comprehensive Guide to Virtual Call Center and Contact Centers

Hodusoft

As per recent stats the number of remote call center agents is expected to grow by 60 percent from 2022 to 2024. Personalized Customer Experiences Virtual call center platforms often include features like advanced analytics, customer segmentation, and personalized scripting tools.

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Augment fraud transactions using synthetic data in Amazon SageMaker

AWS Machine Learning

Gartner predicts that by 2024, 60 percent of the data used for the development of ML and analytics solutions will be synthetically generated and that the use of synthetic data will continue to increase substantially. This blog post explores tabular synthetic data generation. About the Author.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

This is a joint blog with AWS and Philips. Users from several business units were trained and onboarded to the platform, and that number is expected to grow in 2024. Throughout her professional career, she has delivered multiple analytics-driven projects for different industries such as banking, insurance, telco, and the public sector.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock. Reserve your seat now!

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Enable data sharing through federated learning: A policy approach for chief digital officers

AWS Machine Learning

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights. In this post, we discuss the value and potential impact of federated learning in the healthcare field.