Banking Contact Center Self service Virtual Agent 
AWS Machine Learning
FEBRUARY 6, 2023
Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. Dustin Hubbard, Chief Technology Officer at WaFd Bank.
TechSee
MARCH 19, 2019
Once upon a time, measuring customer service success was straightforward. Hire some agents, train them, and use standard contact center KPIs to measure how well they perform. With many of these channels and tools enabling self-service, old-school KPIs are no longer sufficient. New Self Service KPI Metrics.
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AWS Machine Learning
MARCH 29, 2024
Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent.
Interactions
SEPTEMBER 2, 2021
Bank technology is shifting. Specifically, the automated customer service technology. Once only powered by human agents, the first automated technology that was introduced in the contact center acted mainly as a way to redirect calls to the right department. Compliance and regulation are also important in banking.
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JustCall
MARCH 9, 2023
This is how important customer experience is, especially in the context of contact centers. While your call agents strive for favorable first-call resolution metrics, your business should focus on providing them with the right customer contact center software that lets them do their job well.
Pointillist
SEPTEMBER 28, 2021
According to Forbes, poor customer service is costing businesses more than $75 billion a year. The pressure to reduce contact center costs is immense. But many contact center leaders struggle to achieve these outcomes while simultaneously improving customer satisfaction.
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