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Three Pillars of AI for Contact Centers

DMG Consulting

This means that the solution must utilize at least one of three pillars of AI for the contact center: natural language understanding/generation/processing (NLU/NLG/NLP), machine learning and real-time analytics. Real-time analytics frequently takes and acts upon the input from an NLU solution. Machine Learning.

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The Argument for Contact Center Digital Transformation

DMG Consulting

Digitization should be very compelling for contact center and enterprise executives, as once customer inquiries are in a digital format (email, chat, SMS, messaging, social media, etc.), they become much easier to automate.

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Predictive Lead Scoring: A Path to Profitable Growth

CommBox

This is the reason why many corporations decided to switch to the predictive lead scoring business model. Lead scoring with predictive analytics eliminates or minimizes the element of human error, resulting in a higher rate of lead identification. How Does Predictive Lead Scoring Work? About Commbox.

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Unleashing the Power of Real-Time Data: Enhancing Customer Understanding

ECXO

As we mentioned earlier, customers know the value of their data. AI, automation and machine learning mean solutions are available to meet these expectations – at scale. According to McKinsey , organisations that leverage real-time data to personalise customer interactions can achieve revenue and retention by 10 to 30%.