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How AI will change the face of customer experience

VocalCom

74% of organizations consider conversational assistants an important enabler of customer engagement ( CapGemini ), while 63% of consumers are satisfied getting service from a chatbot, as long as they have the option to move the conversation to a human if needed (Forrester). Proactive experience hubs.

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Cloud, the ‘New Normal’ for business continuity and performance

VocalCom

Cloud-based contact center technology also supports seamless integration of self-service, analytics and AI tools such as chatbots and virtual assistants to flatten the curve of incoming calls and focus agents on the more complex conversations. Want to know more about the evolution of contact centers ?

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Why Listening is a Key to Empathy in Customer Experiences

Natalie Petouhof

Ideally, listening uses advanced analytics and artificial intelligence (AI) to uncover issues and opportunities. There is a sort of corporate amnesia where who you were at the start of the journey, and where you’ve been, is completely forgotten,” noted Charlie Godfrey, Senior Director at Genesys in “The business case for empathy” white paper.

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Computer Vision in the Call Center – The New CX Frontier

TechSee

With AI, call centers are equipped with a wide range of voice analytics, enabling recognition of customer, accent, gender, and emotion, as well as powering conversational IVRs and voice based virtual assistants. Computer vision also enables gradual automation towards full self service with device recognition and augmentation.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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A 5-Step Checklist for Mastering Enterprise AI

CSM Magazine

Select the right data – AI tools such as bots, chatbots and digital assistants are only as good as the data used to train them. Options include working with their chosen AI vendor in terms of enterprise offerings, self-service or as a managed service. Next, focus on collecting representative data samples.

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Top trends for the contact center in 2019 – part 1, the human touch

Noble Systems

After researching several articles, white papers and ebooks on the topic, this blog’s intention is to bring clarity to what the experts are saying. Dive Deeper into Customer Intelligence with Analytics. Analytics can capture and disperse these customer insights in real-time while agents are on a call. Learn more.