Artificial Intelligence

Learn how artificial intelligence can help call center managers gain insights call and text interactions. Artificial intelligence is at the forefront of call center technology helping call center agents achieve better outcomes.

CallMiner Product Innovation Series: July 2023

CallMiner VP of Product Management, Bruce McMahon, shares updates in the 2023.07 release, including the type of data users can collect, as well as how...

CallMiner Product Innovation Series: June 2023

CallMiner's VP of Product Management, Bruce McMahon, shares updates from the CallMiner 2023.06 platform release, including AI-based contact summarizat...

Using AI to address five critical business challenges in healthcare

From consumerization to bad debt to staffing shortages, here’s how healthcare organizations can address five of the most critical challenges in 2023 w...

CallMiner Product Innovation Series: May 2023

Bruce McMahon, VP of Product Management, shares key updates from CallMiner's 2023.05 release, including the rebrand of CallMiner Alert to CallMiner Re...

25 examples of NLP & machine learning in everyday life

NLP, ML and AI are everywhere in everyday life, and most people have encountered these technologies in action without even being aware of it. This blo...

Buyer's guide: How to choose the best NLP software

This blog reviews what natural language processing is and explores expert tips and best practices for choosing the best NLP software for your business...

What is text analytics and how does it work?

Text analytics has become an important technology for businesses across a wide variety of sectors and industries. This blog explores how text analytic...

6 Steps to Improve Customer Interactions with AI

As artificial intelligence becomes more advanced and accessible, it is essential to employ both human service and automation in the contact center. Re...

CallMiner report reveals more than 60% of organizations don’t collect enough data to improve CX

CallMiner CX Landscape Report found 62% of companies believe they don’t collect all of the CX data they need, with only 12% collecting an equal amount...

How can artificial intelligence help shape the future of collections?

AI can play a vital role in the collections strategy. CallMiner’s Rick Britt, VP of AI, will explore how at Credit Connects Online Collections Technol...

Four eras of AI innovation in conversation intelligence

Want to know more about AI’s role in conversation intelligence? This blog looks at four eras of AI and the impact they’ve made on customer-centric com...

Technical basics series: The singular value decomposition (SVD) 101

Singular value decomposition (SVD) is important to data science, as it provides a ranking of features stored by a matrix. Learn more about SVD applica...

Technical basics series: Bayesian inference 101

All statisticians use Bayes’s theorem, even frequentists. What makes you a Bayesian is in how you interpret it. The CallMiner Research Lab breaks it d...

Technical basics series: From Python to Haskell

Haskell is a big functional language. Instead of laying out the language systematically, the CallMiner Research Lab starts with the parts most similar...

Introduction to Responsible AI: The CallMiner Research Lab Responsible AI Framework

CallMiner Research Lab Responsible AI Framework outlines definitions, concerns, as well as driving questions about our tools, models, and datasets.

How much AI is ‘real’ in CallMiner? All of it.

The question should be, “does one company do that better or more powerfully than the competition?” For CallMiner, our solution, with a logical blend o...

Introduction to Responsible AI: Unpacking the harms

The latest in our Responsible AI blog series, the CallMiner Research Lab explores two of the main categories of harms that AI outputs can cause: Harms...

Introduction to Responsible AI: Unpacking bias

Part of what makes Responsible AI difficult is the vast set of ideas, theories, and practices that it interacts with. The CallMiner Research Lab unpac...