AI Artificial Intelligence Social Media Text Analytics 
Lumoa
JANUARY 24, 2024
That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic.
Lumoa
JANUARY 8, 2024
And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). AI tools are changing the way we analyze customer feedback.
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DMG Consulting
MARCH 1, 2019
Thanks to AI and RPA, the WFO Market Surges. The market’s transformation will be driven in particular by robotic process automation (RPA) and artificial intelligence (AI). ANALYTICS, AI, AND RPA. The potential benefits of these AI-based solutions are massive. By Donna Fluss.
DMG Consulting
FEBRUARY 25, 2019
Speech Analytics and AI Is a Winning Combination. Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. Vendors in most IT sectors claim to provide AI-enabled solutions, and the speech analytics providers are no exception.
SurveySensum
NOVEMBER 8, 2023
CX automation involves leveraging technologies such as AI (artificial intelligence) and RPA (robotic process automation) to automate customer support and marketing campaigns, collect and analyze customer feedback, and personalize customer experience. However, it is advisable to rely on it only in certain situations.
Lumoa
APRIL 13, 2020
With the modern technologies available today, such as speech-to-text and artificial intelligence (AI) it’s possible to automatically generate insights from calls, Interactive Voice Response (IVR) surveys, and post-call surveys. This can be done using voice-to-text analytics, also known as speech-to-text analytics.
DMG Consulting
JULY 16, 2019
A major challenge facing contact centers is that there is an increasing variety of interaction types, and they are coming from a growing number of channels, including calls, emails, tweets, SMS, chat, social media, and more. While many companies perform QM on their calls, too few apply this practice to other channels.
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