Verint Introduces New Market-Leading AI Innovation to Further Expand Real-time Agent Assist Capabilities
Verint (NASDAQ: VRNT) announced enhancements to its Cloud Platform, including a new AI-driven Real-time Agent Assist feature and a transcription engine utilizing advanced Deep Neural Network models. These upgrades aim to improve customer-agent interactions by providing sentiment analysis, work assist functionality, and comprehensive engagement data management. With these capabilities, Verint empowers agents to respond empathetically, ultimately boosting customer satisfaction and operational efficiency.
- Launch of AI-powered Real-time Agent Assist feature enhances customer experience.
- New transcription engine offers best-in-class transcription and comprehension accuracy.
- Extended capabilities for Engagement Data Management solution for better customer insights.
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Latest Enhancements to Verint Cloud Platform also Include Highly Accurate Transcription Engine Built on Advanced Deep Neural Network Models and Expanded Capabilities for its Engagement Data Management Solution
The new functionality, powered by Verint Da Vinci™ AI and Analytics, helps organizations connect with customers on a more empathic and human-level, empowering agents with in-the-moment knowledge and context around customer sentiment and intent. This gives brands a powerful tool to assist employees as they work from anywhere to boost customer satisfaction and loyalty in today’s digital-first world, where empathy-led customer experience is imperative.
With expanded linguistic and acoustic analysis capabilities, AI-powered bots comprehend what’s being said, how it’s being said and the corresponding agent’s actions and desktop activity, understanding the full interaction context to provide meaningful assistance in the moment to improve agent efficiency and reduce handle time. Verint’s RTAA provides critical notifications, knowledge, and reminders on the agent desktop, unobtrusively, to guide agents on the next-best action and drive positive interaction outcomes.
“When customers pick up the phone to talk with live agents, they rightly expect rapid response and sensitivity to their moods and overall sentiment,” explains
A new Verint Da Vinci transcription engine, built on advanced Deep Neural Network (DNN) models, provides best-in-class transcription and comprehension accuracy as well as discernment of customer intent and sentiment. This helps ensure accurate understanding of complex contact center conversations to provide insight as how and where agent empathy can be improved.
Beyond the expanded capabilities to assist agents in real time and a new post-call transcription engine with market-leading breakthrough transcription and comprehension accuracy,
“While nearly all businesses know the importance of customer empathy, most struggle to deliver it on a consistent basis, especially given the work-from-anywhere contact center environment,” says Verint’s
Visit Verint Real-time Agent Assist to learn more.
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