Remove 2008 Remove Accountability Remove Personalization
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Recommend top trending items to your users using the new Amazon Personalize recipe

AWS Machine Learning

Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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Using Plain Language & Personalization in the Contact Center for Better CX

NICE inContact

For example, when the Cleveland Clinic simplified its billing statements in 2008, it was able to recover an additional $1 million a month. Using plain language does not remove the personal element of customer interactions. Using plain language does not remove the personal element of customer interactions.

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CodeBroker Introduces “CS Resolve” for Customer Service Appeasement

CSM Magazine

Designed for customer service representatives while handling unhappy customers, CS Resolve is a simple-to-use application that enables customer service reps to instantly deliver a pre-approved digital coupon or gift card to an upset customer – in a way that is secure, trackable, and accountable. Drive customer loyalty and retention.

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Part 1: Helping Companies Build Stronger Customer Relationships

TeamSupport

For many in B2B, those in-person meetings have been a vital method for building and maintaining rapport, and now they have to use video calls to accomplish the same. About Eric Harrington Co-founding TeamSupport in 2008, Eric helped build what is now a global mission-critical business solution for managing customer support.

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Free eBook: The 6 Laws Of Customer Experience

Customer Experience Matters

This is an update to the original eBook that was published in 2008. This eBook outlines the following 6 laws of customer experience: Every interaction creates a personal reaction. People are instinctively Read More. The post Free eBook: The 6 Laws Of Customer Experience appeared first on Customer Experience Matters®.

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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio

AWS Machine Learning

You can use this natural language assistant from your SageMaker Studio notebook to get personalized assistance using natural language. This dataset contains 10 years (1999–2008) of clinical care data at 130 US hospitals and integrated delivery networks. Avoid sensitive topics – Amazon Q Developer is designed with guardrail controls.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning

It involves training a shared ML model without moving or sharing data across sites or with a centralized server during the model training process, and can be implemented across multiple AWS accounts. Participants can either choose to maintain their data in their on-premises systems or in an AWS account that they control.

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