How to Best Address Contact Center Needs
Contact centers are often the first, if not only, point of interaction with the public for many agencies, it is time to modernize them.
Artificial Intelligence
How to Build a More Intelligent Contact Center
“What this [pandemic-driven] digital transformation forced was more consolidation: one intelligent conversation that the whole call center has access to, that delivers it at multiple touchpoints.”
Why AI Is an Asset to Your Modernization Goals
An expert detailed three key areas that agencies should prioritize to deliver data-driven outcomes.
How AI Demands a New Vision of the Data Center
Technology originally developed to improve PC-based gaming and multimedia applications nearly 30 years ago is now driving advances in the field of artificial intelligence.
3 Ways Cloud Improves AI
To cope with increased demands, services have needed to be bigger, faster and stronger — bigger in availability, faster in handling requests, and stronger in the face of cyberattacks and network strain.
Bring AI to the Edge
Most people think modeling is the hardest part of artificial intelligence. But really, the most obstinate AI barrier isn’t code or sampling.
How a Crisis Center in Texas Improved Its Customer Service Experience
Integral Care of Travis County, Texas wanted to personalize contact center interactions by changing the way its agents engaged with callers.
AI Requires a New Approach to High-Performance Computing
The traditional high-performance computing architecture, now decades old, worked well for previous generations. But today’s applications, driven by artificial intelligence (AI), require a new approach.
Using Performance Analytics to Gain Powerful Insights
It’s difficult to get visibility into the right data, performance analytics is the engine for agencies to use data-driven insights to make better choices.
Breaking Down the Barriers of Practical AI Adoption
How can agencies overcome barriers to entry and practically adopt AI for success throughout the organization?