Data from interaction analytics (a/k/a speech analytics) has the far reaching ability to extend actionable insights from your contact center to all segments of your organization. The use of Application Programming Interfaces (API) as powerful vehicles to extract and drive data to a multitude of 3rd party and home grown applications such as data reporting dashboards, compliance management systems and gamification platforms.
Home » CallMiner Webinars » API Series 1: How API’s Extend Speech Analytics Beyond the Contact Center
Gain Award Winning Marketing Insights
Gain near real-time actionable marketing insights that drive sustainable, revenue enhancing results for the...
5 Essentials to Build an Innovation Culture in Customer Service and CX featuring Micah Solomon
Hear from CX consultant, Forbes contributor, and best selling author, Micah Solomon as he discusses the five prerequisites for innovation to grow and be sustained in your business.
How to Build a Speech Analytics Program
5 Gold Standards to Improve Customer Surveys, featuring InterAction Metrics
Learn how to get more out of your customer surveys from Martha Brooke, Chief Analyst and Founder of Interaction Metrics, and CallMiner’s Steve Chirokas in this webinar.
Identify Actionable Engagement Insights to Reduce Employee and Customer Churn featuring Ember
Learn how to use AI-fueled speech analytics to develop a deeper understanding of positive (and negative) behaviours amongst your customers and employees.
Conversational AI for Customer Experience
Hear Rick Britt, VP of AI at CallMiner what conversational AI will mean to the contact center, what challenges it will face, and what problems it will solve in your evolving strategy.
Sweet Emotion: Measuring Emotion for Better Experiences
Learn how through emotion you can gain actionable insights to better your Voice of the Customer and Voice of the Employee programs.
How to Use Topic Modeling to Extract Conversational Insights
Interested in learning how topics are uncovered through speech analytics? Our AI team discusses how we use embedding on the sentence/phrase level to categorize topics mentioned in spoken conversation.
How Real-Time Coaching Improves Agent Effectiveness featuring Call Centre Helper
Train contact centre agents to unlock the potential of agent-customer conversations and create positive experiences through coaching in real-time.
Leveraging Machine Learning in Conversational Analytics
Hear from CallMiner's AI team on exposing “real world AI” through actual model outputs and real business insights gained through Machine Learning.
Why Your Contact Center Conversations Are A CX Goldmine! Hosted by CXPA
Pull back the curtain from the contact center and shine as spotlight to uncover the key drivers of customer experience from every conversation being captured already!
Text and Speech Analytics Are Not Created Equal
VP of AI Rick Britt and Data Scientist Kristen Stallings discuss how speech analytics platforms are trained on data derived from conversation and tuned for the unstructured nature of speech.
How AQA Improves your CX and Bottom Line featuring DMG Consulting LLC
Learn how the Analytics-Enabled Quality Assurance application can cost-effectively listen to 100% of calls and identify company, product or employee trends.
What Can AI Do To Help Your Business Today?
Vice President of AI Rick Britt and Senior Data Scientist Yang Liu break down myth from reality on AI’s popularity and how you can turn the data captured in your call center into actionable insights.
Creating Customer Service Super Agents with Data, Tech and Coaching Featuring Forrester
Can You Hear Me Now? How to Use Speech Analytics to Close More Sales with JLodge
Call Center Employee Engagement Trends of 2019 with nGuvu
Hear from CallMiner and employee engagement experts nGuvu of the 10 employee engagement trends in 2019.
How AI-Fueled Speech Analytics is Rocking the World of Customer Experience Featuring Forrester Research
How to Get the ROI from Your Contact Center with Engagement Analytics Featuring Praxidia
Stop Losing Customers By Listening To Them With Speech Analytics
Optimizing “Coachable and Commendable Moments” Through Automated QA Analytics