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Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

AWS Machine Learning

Personalized outbound communication can be a powerful tool to increase user engagement and conversion. To achieve this, you can use Amazon Personalize to generate user-personalized recommendations and Amazon Bedrock to generate the text of the email. Train an Amazon Personalize Top picks for you recommender.

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Guest Post: 5 Unexpected Uses for Customer Data

ShepHyken

We expect to receive personalized service everywhere – even if we are talking about the devices in our home. Customer data analytics is possible due to the rise of IoT, Big Data, and, of course, AI. The usage goes far beyond personalized advertisement or targeting. Personalize Healthcare. Now they can do more.

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Digital Marketing & Web Analytics: Where to Advertise?

CallSource Insights

Digital Marketing and Web Analytics. To implement an effective digital strategy, you need to track your digital marketing and web analytics. Web Analytics. Web analytics works alongside digital marketing. A lot of web analytics depend on digital marketing. Advertising on Digital. Lower cost.

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics. Additionally, Intact was impressed that Amazon Transcribe could adapt to various post-call analytics use cases across their organization.

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The Power of Hyper-Personalization in the Contact Center

Fonolo

But did you know that hyper-personalization in the contact center is one of the best ways to delight your customers? Deloitte reports that 90% of people are attracted to hyper-personalized advertising content, and customers are quickly coming to expect it. What is Hyper-Personalization in a Contact Center?

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Advance from Personalization to Customer Journey Orchestration

Pointillist

Many CX, marketing and operations leaders are asking how they can use customer journey orchestration to deliver better, more personalized experiences that will improve CX and business outcomes, like retention, customer lifetime value and revenue. Journey orchestration goes beyond traditional personalization techniques.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components. In this post, we elucidate the simple yet powerful idea of combining user profiles and item attributes to generate personalized content recommendations using LLMs.