Customer Think
JUNE 6, 2023
To Begin: The Rationale for In-depth Generation of Stakeholder Personas With today’s preoccupation with ChatGPT, and all things AI/digital and sophisticated text analytics and data mining oriented, the value of proactively generating qualitative employee and customer insight is often overlooked or bypassed.
ClearAction
JUNE 25, 2023
Since AI is based on what’s already out there, by definition, AI CX learning is going to be misleading. Artificial intelligence (AI) is a top topic in customer experience management. Even if AI pulls wisdom from the sources recommended above, AI is unable to determine what’s actually wisest.
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Taylor Reach Group
JULY 17, 2017
How pervasive is the impending impact of artificial intelligence (AI) on the customer experience (CX)? AI systems have become supercharged at doing just this very thing at high speeds, and with as much data as is available. In the world of AI, the line between influence and manipulation is clouded with intent.
DMG Consulting
FEBRUARY 12, 2019
AI, Automation and Analytics Drive Vast Improvements in Contact Centers. AI and Automation Pave the Way for Improvements. Automation and artificial intelligence (AI) are changing the way companies operate, allowing businesses to re-imagine many aspects of their operations, including their employees.
DMG Consulting
OCTOBER 9, 2020
It is an artificial intelligence (AI)-based capability that utilizes data mining, statistical techniques and machine learning to identify relationships, patterns and trends. Question: What is predictive analytics and how is it being used in contact centers?
ClearAction
JULY 11, 2023
Your AI/ML/big data is grossly incomplete without mining Customer Service calls. Use voice mining and data mining to track defection turnaround. Use data mining thoroughly in Customer Service to identify patterns in customer expectations. Tie the value of each customer to this turnaround.
Helpt
FEBRUARY 14, 2024
It's the foundation of data analysis, involving the use of key performance indicators (KPIs) and other metrics. It involves more in-depth data mining and correlations. It's a forward-looking approach, making educated guesses based on historical data.
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