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What You Need to Know About Contact Center AI

InMoment XI

Specifically, the world’s leading brands have begun using contact center AI to create a more efficient and effective customer service experience. By integrating these advanced technologies, these companies aim to streamline customer interaction, automate routine tasks, and optimize their overall operations.

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From Knowledge Base to Virtual Agents: The Shift to AI-powered Self Service

TechSee

Customer self-service refers to customer-initiated interaction technologies that enable customers to access information and perform routine tasks without requiring the assistance of a live customer service representative.

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Balancing AI and Human Interaction for Optimal Customer Service

VDS

Imagine a world where customer service is both incredibly efficient and deeply empathetic—this is the promise of combining AI technology with human agents. To meet today’s high customer expectations, businesses are increasingly turning to a blend of AI technology and human interaction.

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Virtual Agents are Automating the Contact Center: Natural Language Greeting & Intent Capture

NICE inContact

With all of the new improvements and changes in modern day customer service technology, it’s no surprise that customer expectations have evolved to follow suit as well. This is the first of four ways that virtual agents are automating the contact center. fewer calls being transferred to live agents.

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12 Interesting Rounds of Funding for SaaS Customer Service platforms

CSM Magazine

Customer service is a crucial aspect of any business, as it can affect customer satisfaction, retention, and loyalty. However, providing high-quality customer service can be challenging, especially in the era of digital transformation, where customers expect fast, personalized, and seamless interactions across multiple channels.

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Customer Service in the Digital Age

CSM Magazine

Emergent technologies have forever changed traditional customer service support. Lampton look at the state of customer service in the digital age. Rising customer expectations and increasing brand loyalty competition are driving the need to provide greater value-driven service to both consumers and stakeholders.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

There are examples of NLP in nearly every customer service process powered by AI. Companies at the forefront of customer experience solve some of the most frustrating human-software interactions and stay ahead of today’s customer expectations by applying advanced NLP machine learning.