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’s Missing From Your Call Center Scorecard?

Posted by Emily Blazensky on Feb 16, 2016 12:00:39 AM

Call Centers have been trying to gather more and more relevant data, even before ‘big data’ became a buzzword.

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Topics: call center, big voice, big data, call center scorecard

Contact.io – The Next Great Show for Call Marketing!

Posted by Emily Blazensky on Jan 26, 2016 8:28:13 AM

Contact.io, is a new conference focusing on the call marketing industry, and has already established itself as THE call marketing show.

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Topics: big voice, big data, speech analytics, innovation, predictive analytics

VoiceBase Announces New Predictive Analytics Product; Insights

Posted by VoiceBase on Jan 19, 2016 4:02:52 AM

Today VoiceBase is excited to announce our new product; Insights. Insights utilizes predictive analytics to match all future calls to certain call classifiers,

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Topics: big voice, big data, speech analytics, predictive analytics, machine learning

Enterprise Connect 2015: A week full of Twilio & TATA

Posted by VoiceBase on Mar 23, 2015 2:28:34 AM
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Topics: conference, call center, big voice, big data, tech, CRM, speech analytics

VoiceBase Will Be Doing “Big Voice” Things at LeadsCon Las Vegas!

Posted by VoiceBase on Feb 25, 2015 2:28:52 AM
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Topics: call center, big voice, big data

How To Nail Predictive Analytics By Incorporating Big Voice Predictions

Posted by VoiceBase on Oct 2, 2014 4:57:00 AM

Predictive analytics is a branch of data mining that focuses on the prediction of future probabilities, trends and behavior. It has recently become a hot topic amongst big data fanatics and rightly so. The ability to predict future successes or failures hold value in any industry; sales, marketing, fraud detection, customer relationship management, and more. This is traditionally done by exploiting patterns found in historical, transactional and customer data to identify and optimize risks and opportunities through machine learning. The power of using machine learning capabilities to collect and organize this data is even more disruptive to an industry when you can collect different forms of data than your competitors; like spoken data.

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Topics: big voice, big data, tech, predictive analytics, machine learning

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. 

 

 

Case study: Increasing Sales by $100K / Month

PDS Case Study Speech Analytics for Call Management
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