DMG Consulting

DECEMBER 7, 2021

Question: Should speech and text analytics be used outside the contact center? Answer: Speech and text analytics, known jointly as interaction analytics (IA), can and should be perceived, managed and applied in a way to benefit the entire enterprise and its customers.

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DMG Consulting

SEPTEMBER 29, 2022

How Artificial Intelligence Is Transforming CX. Artificial intelligence (AI) is driving a great wave of contact center system and application overhauls and upgrades. Artificial intelligence is being rolled out in contact centers in a couple of ways. September, 2022 By Donna Fluss.

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DMG Consulting

JUNE 8, 2021

Current Status of Speech (and Text) Analytics. Interaction analytics removes the mystery from customer conversations. It gives companies access into what customers are “talking” (or writing) about and, specifically, insights into their needs and wants. Product Innovation. Broader Use Cases for IA.

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DMG Consulting

APRIL 16, 2019

Workforce Optimization Ushers in the Real-Time Contact Center. It’s hard to overstate how much the contact center technology sector has progressed in the past 15 years. Thirteen years ago, DMG Consulting published the book The Real-Time Contact Center. By Donna Fluss. who interact with them.

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DMG Consulting

NOVEMBER 30, 2023

When it comes to contact center systems and applications, no topic is generating more buzz and excitement than artificial intelligence. Never mind the technology’s tremendous future potential, AI is enabling advancements now, and a great example is interaction analytics (IA), also known as speech and text analytics.

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DMG Consulting

FEBRUARY 25, 2019

Service, quality management, and the customer journey will all see big gains. Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. The future of this process is analytics-enabled QM (AQM). By Donna Fluss. VoC Unfiltered.

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DMG Consulting

JANUARY 2, 2018

The primary issues are these: Speech analytics is not yet considered a “must-have” application; analytics-enabled quality assurance (AQA) has not caught on; real-time speech analytics has a limited number of use cases; and text analytics continues to struggle to be noticed. THE NEXT ACT FOR SPEECH ANALYTICS.

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