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Risk Management & Compliance

Learn more about call center industry standards and how conversation analytics software can help you identify compliance issues and improve your business performance while mitigating risks.

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...

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...