Learn how acquisition automation technology allows agencies to connect disparate tools and data and streamline complex, tedious contracting processes.
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.
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.
Most people think modeling is the hardest part of artificial intelligence. But really, the most obstinate AI barrier isn’t code or sampling.
Integral Care of Travis County, Texas wanted to personalize contact center interactions by changing the way its agents engaged with callers.
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.
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.
How can agencies overcome barriers to entry and practically adopt AI for success throughout the organization?
AI and ML solutions can increase agencies’ efficiency, improve job satisfaction, and increase the quality of services offered to constituents.
The most efficient way to solve the problems of complexity, visibility and usability is through comprehensive, automated monitoring of applications, infrastructure and cloud resources.