Are Voice Analytics Truly Autonomous or Are Humans Still Required?

Posted by Emily Blazensky on Mar 15, 2017 4:44:57 PM

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Topics: conference, call center, machine learning, call scoring

5 Reasons To Combine Data Visualization and Speech Analytics

Posted by Emily Blazensky on Oct 28, 2016 8:45:04 AM

SEE ALL OF YOUR DATA IN ONE PLACE, NO MATTER WHERE IT COMES FROM

In the era of big data, and now big voice, successful enterprises are taking advantage of data visualization with open BI tools like Yellowfin or Tableau.

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Topics: big data, API, call scoring

Elevate ROI Through Automatic Call Sorting & Churn Detection

Posted by Emily Blazensky on Oct 19, 2016 10:26:50 AM

Enterprises are constantly itching for more data. Recently we've seen a shift happening in the telecom/unified communications industry where enterprises are now hiring developers and creating in-house solutions for gathering data and managing analytics. And the better the data, the better the results.

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Topics: call center, call scoring, sales optimization, lead scoring, lead generation

Enterprise Call Scoring: Humans vs. Machines [Infographic]

Posted by Emily Blazensky on Sep 7, 2016 1:30:00 AM

Most Call Centers Humanly Score less than 5% of all Calls...

Human scoring was the only option for enterprise call centers to score, monitor, and manage their agents and call interactions for a long time.

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Topics: big voice, speech analytics, transcription, call scoring

What is Big Voice?

AI-powered speech analytics for the cloud

VoiceBase is defining the future of deep learning and communications by providing unparalleled access to spoken information for businesses to make better decisions. With flexible APIs developers and enterprises build scalable solutions with VoiceBase by embedding speech-to-text, speech analytics, and predictive analytics capabilities into any big voice application. 

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