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Unlock the Power of AI Speech Analytics

<br>With new technological advancements every day, more and more businesses are adopting AI-based solutions to their products and services. Speech analytics is one of them. It is software that converts voice calls to text and derives trends, metrics, and deep insights about each data. It utilizes speech recognition, the LMS model, and transcription to analyze and understand the present data. Such insights are evaluated through the software, and it assesses customer experience, shortcomings, and strengths accordingly.<br>

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Unlock the Power of AI Speech Analytics

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  1. Unlock the Power of AI: Speech Analytics With new technological advancements every day, more and more businesses are adopting AI-based solutions to their products and services. Speech analytics is one of them. It is software that converts voice calls to text and derives trends, metrics, and deep insights about each data. It utilizes speech recognition, the LMS model, and transcription to analyze and understand the present data. Such insights are evaluated through the software, and it assesses customer experience, shortcomings, and strengths accordingly. How does speech analytics work? 1.Data Contraption: The AI software uses various tools such as transcription, tonality-based sentiment analysis, and speech recognition to provide results using audio recording and call metadata. 2.Analysis: The call recordings are viewed, categorized by speech analytics, searched for keywords, and its analysis is reported as default. 3.Results: In the platform provided, data insights are displayed, providing data related to call quality, sentiment, agent performance, and compliance monitoring. Benefits of Speech Analytics 1.Call Coverage Extension: Reviewing previous call services, call coverage has significantly increased to a staggering 100%. 2.KPI Monitoring: Speech analytics engraves customer service and support teams to provide data for numerous calls. 3.Real-time feedback: About 100% call coverage, supervision can deliver good customer feedback for the agents. 4.Training: Analysis of records provides supervised and conceptualized training insights for agents. 5.Enhanced customer experience: With the help of different analysis systems, agents can now focus on distinguished aspects of improving customer experience to a new fold.

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