“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.”
Here are three things that federal agencies should consider when using low-code to implement complete automation in government.
Low-code can bridge the resource gap and allow civil servants with little or no coding experience build connections between RPA bots and government systems.
An expert detailed three key areas that agencies should prioritize to deliver data-driven outcomes.
Where interactions suffer is when the quality of data doesn’t match documentation requirements. Improving the citizen experience can resolve these issues.
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.