Artificial Intelligence Compliance Text Analytics 
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.
Callminer
JULY 15, 2019
Wednesday, July 24th Artificial Intelligence and Machine Learning. Employee engagement is a persistent problem at contact centers, as evidenced by high employee attrition rates, flat or declining sales, increased customer service complaints, and increased compliance violations. Wednesday, July 24th Artificial Intelligence.
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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). That’s where text analysis, or text mining, comes into play.
DMG Consulting
JULY 16, 2019
Companies need to perform QM on interactions in all channels and to evaluate many of them; otherwise, they won’t know what is happening with their customers and they may be out of compliance with regulations, without knowing it. Analytics-enabled QM (AQM) is the future for QM, and can solve many of these issues. The Future of QM.
Callminer
AUGUST 6, 2019
Ensure security and compliance. Speech/text analytics. Text analytics is used to scour textual interactions (e.g., emails, SMS text messages and instant messages) for certain keywords that indicate frustration or satisfaction on the part of the customer. Manage both tech and human elements well.
SurveySensum
DECEMBER 4, 2024
Artificial Intelligence: With AI, banks can improve and automate their customer support, making the service more efficient. Use text analytics to understand common themes in customer comments. Security & Compliance: Strong data security measures are in place to protect respondent data.
DMG Consulting
AUGUST 21, 2017
RPA makes the output from desktop analytics actionable by identifying activities that can be automated. RPA solutions support two methods of automation: attended and unattended, both of which emulate processes performed by human workers to improve compliance, performance, accuracy, quality and productivity in employee desktop activities.
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