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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

By embracing a diverse array of metrics and leveraging cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML), businesses can obtain a more comprehensive and nuanced understanding of customer sentiment and other important facts.

NPS 480
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The Power of Hyper-Personalization in the Contact Center

Fonolo

Contact center managers know this implicitly. But did you know that hyper-personalization in the contact center is one of the best ways to delight your customers? What is Hyper-Personalization in a Contact Center? Customer service is all about meeting and exceeding customer expectations.

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How Can Contact Center AI Change (and Lift) Customer Experience and Engagement?

Ameyo Callversations

In a digital-first post-pandemic world, exceptional customer experience has become a priority without stepping out, and organizations are paying close attention to making it happen with inbuilt AI technologies in contact and cloud centers. trillion of business value, and customer experience will become the center of this hike.

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Three Pillars of AI for Contact Centers

DMG Consulting

Three Pillars of AI for Contact Centers. This means that the solution must utilize at least one of three pillars of AI for the contact center: natural language understanding/generation/processing (NLU/NLG/NLP), machine learning and real-time analytics. Machine Learning. By Donna Fluss.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

” At HoduSoft, our HoduCC call and contact center software and omnichannel CX suite is powered by cutting-edge AI technology. By using our sophisticated call and contact center solutions, our customers have succeeded in taking their customer service to an altogether different level. It happens by design.”

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3 Ways AI and ML Can Take Your Customer Experience to the Next Level 

Execs In The Know

Are artificial intelligence (AI) and machine learning (ML) buzzwords or a practical reality for your contact center? Here are three ways we’ve seen organizations realizing real results with an AI-powered contact center. Capture customer sentiment and learn from it.

ML 59
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How much historical data is needed for AI to improve forecast accuracy in workforce management?

DMG Consulting

AI-enabled WFM solutions leverage machine learning (ML), an AI technology that is effective at finding patterns. A WFM solution fires off a number of algorithms to address a set of data and the ML engine identifies which model, from among as many as 45 different algorithms, works best with a given set of historical data.

ML 77