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.

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...

What is conversational intelligence?

Conversational intelligence is a powerful tool that can help organizations gain a deeper understanding of customer interactions. Read more about what ...

The ultimate guide to sentiment and emotion analysis

Sentiment and emotion analysis enables businesses to keep track of how customers feel about products and services. This blog shares how these insights...

Forrester study highlights the value of customer intelligence

Discover why Forrester Consulting examined the latest trends in customer intelligence.

You’re not really sorry.

The CallMiner Research Lab uses AI to understand and improve conversations between a company and its customers. Here is what the data tells us about s...

Can you legislate AI?

The CallMiner Research Lab weighs in on the proposal recently released by the European Union on how to regulate artificial intelligence.

Technical basics series: A breakdown of Cython basics

Python can already call external C/C++ code from Python. However, Cython greatly simplifies that effort and boosts performance. Learn more about Cytho...

Introduction to Responsible AI

Models in today’s world have a real, tangible, and sometimes life-changing impact on the lives of real people, bringing to light an important new side...

AI + collections: How technology can help organizations adapt to change, fast

Learn how AI and other technology can help support collections organizations. CallMiner will be speaking at the Collections Technology Think Tank 2.0 ...

25 Examples of Contact Center Interactions & Judgments That AI Will Never Be Able to Make

This article outlines 25 key contact center interactions and judgments AI cannot handle as well as humans can.