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7 Knowledge Management Best Practices That Drive Great Customer Service

Uniphore

Gartner’s newest customer service report “Delivering Relevant Content and Knowledge to Customers Is Key to Great Customer Service” focuses on just these dilemmas. According to Gartner, customer service leaders should focus on these seven knowledge management best practices for improved customer service.

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How to Improve Digital Customer Experience in Banking

REVE Chat Blog

In this digital age, the banks and financial institutions need to be digitally transformed to deliver a consistent customer experience in banking whether it is online or retail. Banks functioning digitally have witnessed reduced costs and streamlined processes. What is customer experience (CX) in Banking? .

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Everything You Need to Know About Auto Attendant

Hodusoft

Best Practices for Using Auto Attendant Industries That Can Benefit from Auto Attendants Past and Present: A Brief History of Auto Attendant Before the invention of auto attendant, callers had no choice other than to wait for their calls to be picked up by a customer support representative.

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Helping Financial Organisations Deliver 24/7 Customer Support: Part 2

Creative Virtual

By Laura Ludmany, Knowledgebase Engineer. Delivering excellent customer service is more important than ever, as it can be a real ‘make it or break it’ experience for customers looking for quick answers in these uncertain times. I love looking after several projects, as I always get fresh ideas and it’s never a dull day.

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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Self-service analytics – To streamline the experience of data users of analytics and ML so they can discover, access, and use data products with their preferred tools. Then we focused on the technical part associated with building data products, self-service analytics, and federated computational governance principles.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Maintainability – The platform’s architecture and code base should be well organized, modular, and maintainable.

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Customer Service Trends 2018: Creating Effortless Customer-Centric Experiences

Kayako

I’d purchased flights through a popular comparison site only to find double charges in my bank account. Did my bank have an error? I got my answer in the end (and my refund), but it wasn’t an ideal way to spend the first hour of my Sunday morning or my first customer service transaction this year that stressed out.