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AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect

AWS Machine Learning

It consists of the following key components: Speech recognition The customers spoken language is captured and converted into text using Amazon Transcribe , which serves as the speech recognition engine. The transcript (text) is then fed into the machine translation engine. The customers translated speech is then streamed to the agent.

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5 Ways Tomorrow's Contact Center Will Deliver Value

Call Center Weekly

They don't provide traditional phone or chat support for most of their enterprise networking products, which helps them to offer disruptively low prices. Instead, customers go to the online support forum for help, where they interact with other customers and senior Ubiquiti engineers (who actually built the products in question).

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning

Extracting valuable insights from customer feedback presents several significant challenges. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond promptly and address customer concerns. Large language models (LLMs) have transformed the way we engage with and process natural language.

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SmartBear Celebrates Dual Wins at the 2025 Stevie Awards for Sales & Customer Service

CSM Magazine

Based in Galway, Ireland, Joe Joyce , Solutions Architect, earned a Gold Award for Sales Engineer of the Year. Led by Pedro Souza , the SmartBear Customer Care team sets the standard for excellence in technical support, integrating teams from four acquisitions since 2022 while driving innovation in customer service.

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How Can Contact Center Leaders Avoid the 'Mechanical' Approach to Metrics, and Become More Customer Experience Focused?

Call Center Weekly

Direct customer feedback is probably the best method for determining how customer-focused a brand is. The contact center leader will need to invest time interpreting customer feedback data to determine what defines a great customer experience for their specific customer base, and how well the contact center is contributing to it.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

They don’t do anything else except maybe monitor a few calls and give some feedback. Agents can also send feedback directly to script authors to further improve processes. Feedback loops are imperative to success. If a QA person is responsible for delivering coaching/feedback, it can be time-consuming.

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Deep Learning Gives Sight to A Virtual Technician

TechSee

As a result, our increasingly sophisticated smart home networks are creating billions of new requests for technical support. A wide variety of objects and applications are currently using these technologies , such as self-driving cars, camera systems, and search engines.