Analytics Engineering Sales 
OrecX
MARCH 14, 2022
It's like the chicken and the egg - which came first: the call recorder or the recording engine? A recording engine is quite different, although you may not initially think so. Yes, a call recorder has a recording engine within it, but we aren't looking at it that way right now. Real time, automated QA - recording engine.
AWS Machine Learning
OCTOBER 29, 2024
Furthermore, these notes are usually personal and not stored in a central location, which is a lost opportunity for businesses to learn what does and doesn’t work, as well as how to improve their sales, purchasing, and communication processes. The end-to-end solution for the video insights and summarization engine starts with the UI.
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AWS Machine Learning
FEBRUARY 14, 2024
It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.
AWS Machine Learning
AUGUST 2, 2024
Solution overview We apply two methods to generate the first draft of an earnings call script for the new quarter using LLMs: Prompt engineering with few-shot learning – We use examples of the past earnings scripts with Anthropic Claude 3 Sonnet on Amazon Bedrock to generate an earnings call script for a new quarter.
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To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.
Beyond Philosophy
JUNE 17, 2015
In other words, the resources of time, money, people, and technology have to be accompanied by stated financial objectives and actionable analytics to prove their worth. In other words, consumers may shift back and forth from marketing to sales – and at their individual, emotionally driven whim.
CCNG
MARCH 6, 2024
There are many types of AI, however, 95% of AI is being utilized effectively and most of the innovation in the contact center is based on Generative and Analytical. Analytical AI analyzes large amounts of data and processes quickly, sometimes in real-time, and creates actionable insights from that data.
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A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.
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