Lumoa
JANUARY 24, 2024
That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. If you want to satisfy—or dare I say, delight—your customers, you need to understand their wants and needs. Careful and well-implemented text analytics can easily reveal dozens of improvement ideas.
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.
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. appeared first on DMG Consulting.
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.
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.
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. AI AND INTERACTION ANALYTICS.
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