Remove blog tag call-center-training
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Machine learning isn?t as hard as it looks

Intercom, Inc.

He explains, “You have a problem, you’re trying to solve it, and then you have a system where the performance improves when you give it more training data…The more data you get, the better your estimate.” Or, in Ruby: If @words equaled: ['hello', 'inside', 'intercom', 'readers', 'blog', 'post']. Get all other posts.

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8 Essential Features for your Contact Center LMS

Customer Service Life

This article was originally published on the FCR blog on October 8, 2018. When you picture customer service training, what key elements come to mind? Now consider training for a team that’s distributed over multiple locations or a team of tenured agents needing ongoing training to keep skills and knowledge up to date.

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5 Contact Center Tech Upgrades to Consider in 2019

Customer Service Life

The text of this article originally appeared on the ICMI blog on December 5, 2018. There are five such areas where I see significant gains for your contact center by upgrading in 2019 if you haven’t already. Slack has revolutionized contact center communication. Hint: Focus on Agent Performance.

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7 More Technologies To Jumpstart Your Customer Service

Customer Service Life

This article was originally published on the FCR blog on May 3, 2017. At FCR we have an Emerging Technologies (ET) team that exists to learn about the various tools and technologies that can help companies deliver a better customer experience and help contact center leaders manage their teams better. Click here to read the original.

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Contact Center Metrics ARE Customer Experience Metrics

Customer Service Life

This article was originally published on the ICMI Blog on March 29, 2018. But how many would list quality assurance, a standard contact center metric, as a customer experience metric? In the modern contact center, these ARE customer experience metrics. Most customers don’t want to call anyway. Average Handle Time (AHT).

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

The first step in analyzing any large unstructured dataset is calledtagging.” ” Whether you’re using AI or a team of researchers to analyze your data, the tagging process is the same – and it requires human input. Tagging is tagging. Does every comment need to be tagged?

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Integrations to keep your summer going

Zendesk

This integration connects with your Crowlingo deep learning models to automatically tag new incoming tickets by the criteria you define, such as Topic, Issue, Priority, or Sentiment. ViiBE (Chat) is a video assistance technology dedicated to help desk support in call centers. Verse for Sell.