Remove CRM Remove Machine Learning Remove ML Remove Voice of the Customer
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CCaaS Trends: The Evolution of Cloud Contact Centres

Lumoa

The denouement of Gartner’s latest Hype Cycle for AI shows how AI-powered contact center technologies such as natural language processing (NLP), chatbots, and machine learning (ML) have recently begun to lose their magnetism, ending up in the Trough of Disillusionment.

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Current Status of Speech (and Text) Analytics

DMG Consulting

Interaction analytics capabilities are now finding their way into many third-party systems, including cloud-based contact center infrastructure solutions, customer relationship management (CRM) solutions, voice-of-the-customer (VoC) offerings, BI applications, and more.

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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. It’s time for product teams to go from being revenue-led or product-led to being customer-led. When building machine learning , large generic training models aren’t always the best.

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CX Automation: How to Deliver Seamless Customer Experiences with Efficiency

SurveySensum

Personalized product recommendations : By analyzing customers’ purchase history, AI can show product recommendations that might be an exact match for the client’s needs. This saves the customer time to browse through various categories of products. So, they can solve the age-old problem of failing to turn users into paying customers.

CX 52
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New at Intercom uncut: Watch our entire virtual launch event

Intercom, Inc.

Now, I can’t cover everything that we define as next-generation in Intercom, but things like dense UI, designing for power users, fast action switching, dark mode, no-code, usage of AI/ML, designing for multiplayer experiences, this is all what your products will look like in the future if they don’t already today.

Start-ups 118