CallMiner, a leading provider of conversation analytics to drive business improvement, today announced it is enabling organizations to use the power of the CallMiner Eureka Platform with Microsoft Azure Speech to Text as a powerful, unified solution.
Azure customers now have access to CallMiner as an out-of-the-box call center analytics solution via the Microsoft Azure Marketplace, allowing Microsoft audio-to-text transcriptions of contact center interactions to be ingested by the CallMiner AI-powered platform both in real time and batch (post call). Without needing to build a dedicated data analytics initiative to use Azure Speech to Text, analysts, developers, and users can spend less time developing the application layer for their call center and more time identifying trends and gaining insights into customer conversations.
Azure customers can also use their existing Azure credits, as part of the Azure Consumption Commitment (MACC), to acquire CallMiner with Azure Speech to Text.
Together, CallMiner and Azure Speech to Text empower organizations to transform unstructured contact center data into meaningful insights to improve performance, customer experiences and operations enterprise-wide.
“The interactions that organizations are having with customers are increasing in volume and complexity, making it difficult to identify critical trends and opportunities for improvements at scale,” said Jeff Gallino, CTO at CallMiner. “By combining CallMiner’s best-in-class conversation analytics platform with Microsoft’s speech recognition solution, organizations can get even more value out of their existing tools and gain deep understanding into customer conversations they’re already having. With the right insights, not only can companies empower contacts centers to improve customer experiences and agent performance, but they can also make better business decisions across every department.”
By integrating the industry’s most powerful conversation analytics platforms with Microsoft’s world leading speech transcription service, businesses can:
- Quickly gain accurate insights: The combined solution can help businesses effectively gain insight into their customers, as well as use that insight to drive better decisions across the organization. Together with visualization tools and dashboards that help identify trends and emerging opportunities, executives and managers can experience shortened time to value.
- Improve customer engagement with global speech models: Powerful speech models are tailored to understand diverse dialects and industry-specific terminology. This improved transcription enhances CallMiner’s industry-leading conversation analytics to automate and deliver insights and feedback for accuracy and compliance.
- Reduce build times, uncover more insights: Powerful API-first, AI-driven discovery tools combined with rich Azure speech APIs can decrease the amount of time IT, operations and data analysis teams spend investigating customer interactions. Organizations save on having to internally build out costly audio management and retention, search and machine learning workflows – while empowering managers and executives with the insights they need to improve customer engagements.
“In today’s business world, where organizations are having an increasing number of conversations across a range of channels, our mutual customers rely on analytics capabilities like CallMiner’s to gain intelligence into what is being said in those interactions,” said Bharat Sandhu, senior director, Azure Data + AI, at Microsoft. “We’re looking forward to seeing how Microsoft customers will use CallMiner alongside Azure Speech to Text to turn insights from spoken conversations into action.”
To learn more about CallMiner or to purchase the platform with Microsoft Azure Speech to Text, visit the Microsoft Azure Marketplace.
Author Information
As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.
She brings more than 20 years of experience in technology research and marketing; prior to her current role, she was a Research Analyst at Omdia, authoring market and ecosystem reports on Artificial Intelligence, Robotics, and User Interface technologies. Sherril was previously Manager of Market Research at Intrado Life and Safety, providing competitive analysis and intelligence, business development support, and analyst relations.
Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.
