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Call Center Optimization: Big Data Analytics

Global Response

Call centers are increasingly turning to big data analytics as a pivotal tool for optimization. By harnessing the power of vast data sets, businesses can uncover deep insight into customer behavior, preferences, and trends, enabling them to tailor their services for maximum impact. Let’s take a look.

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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 to use Customer data analytics to improve contact center performances and CX?

NobelBiz

In other words, the link between data and customer experience can become a virtuous circle. This article focuses on the crucial role of customer data analytics in contact center performance and customer experience. Table of Contents show What is Customer data analytics?

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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. The show goes on.

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AI-based call center: How do they work?

NobelBiz

From improving response times to personalizing interactions, artificial intelligence is now setting new standards in customer service efficiency and effectiveness. This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics.

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AI-based call center: How do they work?

NobelBiz

From improving response times to personalizing interactions, artificial intelligence is now setting new standards in customer service efficiency and effectiveness. This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics.

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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.