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Boost post-call analytics with Amazon Q in QuickSight

AWS Machine Learning

Amazon Web Services (AWS) has AI and generative AI solutions that you can integrate into your existing contact centers to improve post-call analysis. Post Call Analytics (PCA) is a solution that does most of the heavy lifting associated with providing an end-to-end solution that can process call recordings from your existing contact center.

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Enhance customer service efficiency with AI-powered summarization using Amazon Transcribe Call Analytics

AWS Machine Learning

Supervisors also spend a considerable amount of time listening to call recordings or reading transcripts to understand the gist of a customer conversation when investigating customer issues or evaluating an agent’s performance. In this post, we show you how to use the new generative call summarization feature.

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Compliance: Contact Center and Debt Collection Agency Guide

NobelBiz

Debt collection agencies and contact centers are subject to strict regulations and laws governing their operations. Additionally, other countries and regions may have their own regulations governing debt collection practices. This data may include call recordings, customer information, and performance metrics.

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Calabrio Charts Record Year-on-Year UK Growth as Demand for Cloud Technology Soars During Lockdown

CSM Magazine

“Coupled with businesses operating solely online, we have also seen strong demand across the board from more traditional sectors such as finance, insurance, retail, consumer goods, local and central government departments. These organisations require an innovative yet reliable solution to help them manage unprecedented levels in demand.”.

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WFO vs. WFM vs. WEM vs. Conversation Intelligence & More

MiaRec

Here at MiaRec, we serve more than 1,000 companies, financial institutions, and government agencies worldwide, and the confusion is REAL! Do you not fully understand the difference between WFO, WFM, and WEM and how Customer Engagement platforms fit into all this? If so, you are not alone.

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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

AWS Machine Learning

At the same time, it’s crucial to make sure these security measures don’t undermine the functionality and analytics critical to business operations. Amazon S3 is often used in conjunction with Amazon Lex for storing call recordings or transcripts, which may contain sensitive information. To create an SCP, see Creating an SCP.

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Improve transcription accuracy of customer-agent calls with custom vocabulary in Amazon Transcribe

AWS Machine Learning

You can use the same process to transcribe audio calls with any language supported by Amazon Transcribe. After you create custom vocabularies, you can transcribe audio calls with accuracy and at scale by using our post call analytics solution, which we discuss more later in this post. Choose Call analytics jobs.