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Nowhere to Go But Up: Bold AI Predictions for 2022

Uniphore

Ah, 2022, a new year. After nearly two years of uncertainty and a rough start with Omicron in full swing, the collective attitude toward 2022 might best be described as “cautiously optimistic.” However, in artificial intelligence (AI), the feeling is anything but cautious. Here are some of my predictions for 2022….

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How Can Contact Center AI Change (and Lift) Customer Experience and Engagement?

Ameyo Callversations

In a digital-first post-pandemic world, exceptional customer experience has become a priority without stepping out, and organizations are paying close attention to making it happen with inbuilt AI technologies in contact and cloud centers. A report predicts that the AI market size will reach US$ 270 billion by the end of 2027.

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Top Conversational AI Statistics and Trends to Follow in 2022

Ameyo Callversations

This is where conversational AI plays a vital role by delivering efficient customer interactions and fast responses to their queries. With the increasing significance of Artificial Intelligence in customer engagement, more businesses are adopting conversational AI. Also, chatbots will become the harbinger of AI in different industries.

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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

A contact center is a facility where customer service representatives answer customer queries over phone calls, emails, chat, social media, and other channels. This facility may be owned entirely by the organization or (as many companies prefer today) may be outsourced to a contact center operator.

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CCaaS Trends: The Evolution of Cloud Contact Centres

Lumoa

In the past, contact centers could stay ahead of the curve as long as they ensured to utilize the right solutions and tools to service customers. According to a survey, CCaaS will grow to be the favored adoption model by 50% of contact centers by 2022.

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It’s Time for Knowledge Management

DMG Consulting

Knowledge management (KM) is an essential enabler for contact center (and enterprise) employees, whether they work virtually or in the office. The pandemic proved that agents and other contact center resources can successfully and productively work remotely when they are equipped with the right tools. Self-Learning KM.

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Current Status of Speech (and Text) Analytics

DMG Consulting

The more advanced IA offerings have expanded their capabilities and benefits far beyond their initial contact center audience but are struggling to demonstrate their value to customer experience (CX) executives who continue to concentrate on marketing and sales functions. Product Innovation. Broader Use Cases for IA.