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.
Just like when adding any new decision-maker to an organization, officials need to build a base of trust before rolling out an AI system in the real world.
An industry cybersecurity expert gave agencies three pointers for protecting themselves with zero trust cybersecurity, which assumes everyone and everything on IT networks is potentially threatening.
Accessing a website isn’t normally a life-or-death situation. But in November 2018, it was. A massive, destructive wildfire was burning in California, and nearly 300,000 people had to be evacuated.