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        Keith Dawson's Analyst Perspectives

        The first wave of discussions around artificial intelligence (AI) in the contact center was focused on providing software buyers with a general understanding of what the technology could do. Now the conversations are becoming more specific, focused and direct. Buyers are more aware of the spectrum of available use cases and appear to be exploring how to map new tools to the particular business problems they face. Contact center buyers are approaching new technology deployments (or enhancements...

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        Topics: Customer Experience, Contact Center, AI, natural language processing, agent management, Intelligent Self-Service, Generative AI, Computer Vision

        We are going through an analytics revolution in and around contact centers. There is more data to analyze and better tools to conduct the analysis. One important advancement is assessing customer sentiment and using it to predict (and influence) behavior. Enterprises are using customer experience programs to identify and act upon hidden "moments of leverage" where customers may be inclined or primed to make a purchase. To do that effectively, enterprises need insight into how the customer...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, Customer Experience Management, Intelligent Self-Service

        The speed of innovation and transformation has picked up considerably in the 2020s, thanks to the confluence of artificial intelligence (AI), cloud computing and the pandemic. Modern consumers have wildly different expectations than their predecessors when it comes to service delivery, whether that means a preference for digital channels and self-service or a willingness to do their own troubleshooting and research. As a result, buying an operating platform for a contact center is not a simple...

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        Topics: Customer Experience, Contact Center, agent management, Intelligent Self-Service

        The pandemic laid bare the tenuous relationship between many contact centers and their agents. The abrupt shift to remote work was just one component of the changes still under way. The past four years have also seen enterprises reckoning with questions about how to hire, what to pay their employees, what skills are needed and how an avalanche of new technology will change their operations. 

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        Topics: Customer Experience, Contact Center, Knowledge Management, agent management, Intelligent Self-Service, GenAI, Generative AI

        It often takes longer to adopt new technology in the customer service delivery environment than in other business areas. In fact, service operations are among the most efficient and well-organized processes (despite what consumers might think). Because both the processes and the technology that drive them are deeply engrained in many companies, many people resist large-scale transformation projects because of their disruption and the uncertainty of outcomes. 

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        Topics: Customer Experience, Contact Center, agent management, Customer Experience Management, Field Service, Intelligent Self-Service

        Verint’s November analyst conference was an opportunity to flesh out the strategies unveiled earlier in the year on AI deployment and on “Open CCaaS,” a moniker describing how contact centers are provisioned going forward. The company displayed notable progress, particularly in rolling out AI bots for numerous real-world applications. 

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        Topics: Customer Experience, Voice of the Customer, Contact Center, bots, agent management, Customer Experience Management, Intelligent Self-Service, Open CCaaS

        For at least five years, it has been clear that innovation in technology for communication and business processes is accelerating. This year, that trend has been especially notable with the explosive emergence of artificial intelligence in the contact center software market. But what tends to get lost in the excitement around innovation is what sits downstream of the development process: the impact of new technology on how buyers organize the processes and the disruption that new technology...

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        Topics: Customer Experience, Voice of the Customer, agent management, Customer Experience Management, Field Service, CCaaS, Intelligent Self-Service, Telephony, ACD

        NICE held its annual Analyst Summit this month in the magnificent high-altitude mountains of Peru, a fantastic environment in which to hear top executives share insights into the changing company and industry. NICE has been very successful in navigating the industry transition from voice-centric interactions to a digital-first posture. Consumer behavior is one of the underlying causes of this shift, forcing many organizations to rethink customer experience strategies.

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management, Customer Experience Management, Intelligent Self-Service

        The environment around customer experience is being disrupted by a series of technical and organizational shifts ranging from artificial intelligence to work-from-home to deep customer analytics. When times change, it’s helpful for people to have a framework to organize their thinking and actions. I believe there are two dominant frameworks used to organize business approaches to customers. One is rooted in the efficiency of the contact center (let’s call it “CC thinking”), and the more...

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        Topics: Customer Experience, Voice of the Customer, Contact Center, agent management, Customer Experience Management, Intelligent Self-Service

        A lot of conversations around contact centers deal with automation, particularly how to balance the way humans and automated systems work together. Self-service, the front end of the customer interaction, is where practitioners get a first taste of the marvels of increasingly advanced automation. As customer expectations ramped up and labor became more costly during the pandemic, deflecting interactions away from agents took on new urgency. We continue to see impressive advances in automated...

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        Topics: Customer Experience, Self-service, automation, Contact Center, Knowledge Management, agent management, Customer Experience Management, Intelligent Self-Service, Conversational AI
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        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

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