Remove Big data Remove Entertainment Remove Personalization
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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.

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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

Amp uses machine learning (ML) to provide personalized recommendations for live and upcoming Amp shows on the app’s home page. Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. Conclusion.

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Majoring in Customer Experience

CX Accelerator

Degrees also included global tourism, sports and entertainment management, performing arts, and others are proof positive that people who find themselves in CX come from an incredibly diverse set of backgrounds. Especially when you consider that to gain buy-in from executives for CX initiatives, there must be data to support it.

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

However, traditional dubbing methods are costly ( about $20 per minute with human review effort ) and time consuming, making them a common challenge for companies in the Media & Entertainment (M&E) industry. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

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Avoiding Bot Biases in Customer Experience

Taylor Reach Group

In an early attempt to provide more targeted and personalized experiences for consumers, companies would invest in data mining programs that promised a competitive advantage. However, their ability to maximize insights from big data was only marginally successful; unfortunately, there were not enough hamsters to turn the wheel.

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Why Technology Won’t Help You Understand Your Customers

C3Centricity

If you're drowning in data, perhaps you have still not adapted to today's data-rich world. Consumers are adapting their behaviours to the trading of their personal information. 65% admit they risk becoming irrelevant and uncompetitive if they do not leverage data. I admit, a lot has changed.

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Gone Virtual: Recap of the CETX Conference

Callminer

While it may not have been our typical, in-person experience filled with cocktail hours and outdoor activities, there was no shortage of entertainment and powerful and engaging insight from the customer experience (CX) and contact center industry’s most influential leaders, and hands-on practitioners.