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How to Create Unbreakable Brand Loyalty through Emotional Connection

Beyond Philosophy

Many emotions exist within those positive and negative categories, too. To see specifics, refer to the graphic below.) How Training, AI, and an Outside-In Perspective Can Help Moreover, Memory Maker training can also help your team identify these clues. You should also measure the effects of the emotions you choose.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase behaviors. We include some examples of personalized messages later in this post.

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Seizing the Digital Future in Customer Experience Transformation 

COPC

Technological advancements, notably artificial intelligence (AI), fuel customer experience transformation. With the advent of generative AI (GenAI) and large language models (LLMs), we are in an era of exponential change. Customer-facing technologies encompass a range of AI-powered tools for direct customer interaction.

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning

A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies. For details about Amazon IVS costs, refer to Costs (Low-Latency Streaming). For more detailed information, refer to the GitHub repo.

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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. Filters on the release version, document type (such as code, API reference, or issue) can help pinpoint relevant documents. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.

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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. If you missed any of the webinars, we are replaying them all during our Webinarstock virtual conference AI day, Wednesday, July 24th. What’s an “engineered category”? Absolutely.

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