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Expert’s Corner: Delivering Voice of the Customer

Customers Rock!

Deborah shares with us about considerations when listening to customers, whether online or offline, and how technology plays a part. In 2008 Bain & Company found that while 80 percent of companies believe they deliver a superior experience to their customers, only 8 percent of those companies’ customers report having such an experience.

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CCaaS Trends: The Evolution of Cloud Contact Centres

Lumoa

Artificial Intelligence Ever since 2016, the continuous advancements in technology have culminated in a disruption of contact centers on an industrial scale. These include customer service analytics, engagement hubs, the voice of the customer , virtual agents (live chat), and chatbots.

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Announcing NetBase AI Studio – It Changes Everything You Know About Analytics

NetBase

With the release of NetBase AI Studio, our always-on approach to rapid innovation makes us the first social analytics provider to market with this revolutionary AI product. Older (ahem, outdated) AI technology requires ongoing manual training and retraining of user-directed machine learning systems. And that’s what we’re doing now.

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From Chief Information Officer to Chief Customer Officer, With Brian Lillie – CB60

Customer Bliss

Brian Lillie joined Equinix in August 2008 and has been focused on building business value through strategic and innovative product development and information technology initiatives. I wanted to learn more about that transition, his background, and how he built out the new role. That’s this episode. About Brian.

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Random device engagement: What it is with Methods

QuestionPro Audience

2016) who used the Cooperative Congressional Election Study (CCES), which interviewed 1,068 respondents via RDDs during the 2008 presidential election cycle. Online panels are similar to traditional RDD but with more modern technology; they do not require participants to answer any questions themselves or even speak with a human being.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management. Federated learning.

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A History of Customer Support Technology

Team Support

Here’s a look back at how customer support technologies evolved over the last century, and a peak at where they’re going next. By the early 1970s, more call-routing systems were beginning to include ACD technology, ushering in the development of large-scale call centers. Fun fact: TeamSupport was founded in 2008!