Machine Learning: The Time is Now

By Liz Cahill

Machine learning is often used to automate interactions via chatbots; customers want self-service! Bots can empower...

Automation for Augmentation: The Smart Blended Future of CX

By Edify

By automating highly predictable and repetitive interactions with machine learning, contact center agents are able to...

Thought Bubbles Q&A: Discussing Contact Center Basics

By Cameron Weeks

Edify CEO and co-founder Cameron Weeks discusses contact center technologies and features, like the changing face of...

Thought Bubbles Q&A: Artificial Intelligence

By Cameron Weeks

The utilization of AI throughout contact centers is ever-expanding. Read about the use-cases and whether it's a big...

Machine Learning is the Real Buzzword of 2020

By Liz Cahill

Read Edify CEO Cameron Weeks' article for Forbes Tech discussing why machine learning is the real buzzword of 2020,...

Machines + Humans: The Next Chapter

By Liz Cahill

Machine learning can empower human workforces and boost customer experience, which is why this self-service technology...

Thought Bubbles: Episode 1

By Kendal Rodgers

Watch the first episode of our brand new video series, Thought Bubbles, where thought leaders discuss customer...

The Fastest Glacier

By Candace Sheitelman

The contact center industry’s cumbersome yet mostly functional technology has stuck because there just haven’t been...

The Ultimate AI and ML Glossary

By Kendal Rodgers

Here’s the ultimate AI and ML glossary, defining all the commonly used terms, so you’ll never be confused again. From...

Megatrends 2020 -- A Recap

By Kendal Rodgers

Megatrends 2020 covered everything from AI and ML to voice technologies and advanced analytics. Here's a recap into...

AI and ML: They’re Not Interchangeable

By Candace Sheitelman

There are so many nuances and so many attributes to both artificial intelligence and its litany of subsets - including...

Machine Learning Q&A with Cameron Weeks

By Liz Cahill

We asked Edify co-founder and CEO Cameron Weeks why he believes so strongly in machine learning. Here is what he had to...